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) 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g5NLLIEXi8otcDQcUts0D8eQ1iVDRAMBTsYiNdRIxE09EIBJO9A2xqgERTaW86BUFn0OD2xFO97FAgFhF6OoQ7prYt4XwSeUgQHiJyDbeke9IdQntciLQ1FlJMaYcUNvZBg+FB1ubjlnRNvl3o6IEU2w7fdNPhm/hh+FLysUu6++DLHkOkrSHYEjH0tEPe7WdD3uyDgvAgK/m4szFFR7ch0toUgBTdWHr7EpaWru6+6dmbbnqWEbV2EtxAsXiZAPTtGPSbHsotI2leoM8TePEqgSQprs7AGFf8kuOkPdZPXGb55POAW1d/jLST9v5YflasP6v/CO7+GNAPC2BMZWmsOjp2NNbfHwMCJD+LPVL+D/OYlWEEI/9jpPddOFkB5d1GSuKZYggmCCd7JUxD7EXAzxyirYnNDLdDZoFdx14kivkvGc3579Jm36reTTvDgBnaO6vzyQ6chQmlsMoIkIQ2+bBDWBud1Va4pcCn8CPqxlh/fgtG8IPaPH8C5wk6/nZDv69jurV5QhtwE0x2iqOsj9Mx8B9/0EaUdiPfOYYDCi/q9jhWRuupMDEU0+CtX0sDFxv07T/K5niBPqN9+tQjgEc31NGCXFeMcCEuQBIc/BK4CO78u7EPYvl3yaEfK3vcb6qP1R2tI7vUjVDDUdKubsSrNjYKY1qBEa2P50SJoaXiksIoLiCwnxS6EBuBde87botNfdEWwYvF/R0/u5yCqhGeEOR2ynSeyXjt6ka7neyye8kryBSWE52y+RBgogrXPZ8E1yIHoHIFUM+AbJhE7lbMtt8ApL+xmZW7PwbjAO0fAVoXQOuiSP/ksIVdFZ0aulsamKUzwPZ/NYDMJRBPCxsBqLzqHyneXF6Ej9HlIFo7+pg+jUb3unRmGpstGkm6etOuDBGA5wCMefp1gTHcdZlvPBXlOslvYTp1cd8UjYLVd/J5awNrIOKLnIt9MD9qdrKrWCvA6ALm3QV9VrsPm60Q7+RHJHP+2hqfugo/MvI2H/mqr4b9tFnKSRY1Y5Ek80Nm/WIhr1ikKnxGz9TWXrokf9xwujfvcOTtNTWnxd0F37Y2W79tteBqZ4G5qLCuomw+nSr28QESCRVLTyYKILGJOPfcnaIFOsewhRdvv+rWa/Wih0vlbX6Zb75T5C0qNKVFvH1QL/vazSWgC2s6oWXXIuUxQelKiJbowuJDQViatLmLijg9CQBMg8WiPgiw3LEeYRmm5f+XdnvkDnxLLjMLxtvX74C3OlwPQqx4xwIdpPx38LrlDphiyWUWHWKAzzxurS/xTo+P5wGFak62ap1PVFFN4v/y+xuR39WnIO7lsWfwgVsK17wxrs9K8ltIKuhkw7f/6dhK6gQokFKhWX3urrjk/rnI0pgfpGMeuQIUaEM7+GF5q2iMkCaMQwxxOzcvU0eXbsnS9XknXvP7Gtw5dwPXlFu2ecvSHEZgNDsU6x/GdXBYXyOQjzZReSedeEPY6nEv9gJR4oBQJtFO6Kd0fwC6BO4LNHDeBujB6dSNcUQC9zIv2LnAzGk99bUDrdFY+9yGFQtEo0GQPNv6vS2drj4+1jHbv3aJSMUWP+QTZrmbNTjU8wyG/iXNNpskybLcJ3CiTF5Ir+JYzmJwE0mSVhlxbtbmvweB3ulB6Til5UuUZydpgiFVeobhU0WaBqpJ198d+/XeNRTZ9/1OPfG7+2hwzd5W3D+hmyjsRcUg/+Cavb++Vh2ls3L7zT/etOnHNxeerv313vzLVqPai4nJv+K1FC6040/4udw7sAb3laSg0XCkAAs0npBO6VJabS4Elk/U+D4gTXW+j0wnrMlqNamq4tMIYB87tE10i0FR3LZNhJsb7/R561btmes8YBCRkhYNByRtKd55mqTas9FYhJnbRGHuOh3M4QTdgQSqmgRxuzGdSvZGcbMxNQGk5C3ebLjoXIOFM4l+WKHmLTJwRv9E8GWJ6dYvf/FmEyEGr+gyrr1p5zrgkz0Cw2j94Hv8Jdx7dIVegBSNtgsqGsRQEYiIBoXwD0LNvQ5d7s5Z00QzwNhqZA0b+tMG1tQq5nd84uq8R0zPvX35G8uRaze4jcOHzz0w1+Q2BIRvf6J6Kgatnrbiem+CFvAxfkrndzD9MFPP1GWTUHclpASUkCNAQkpCCcCgDSUDAhDZ+CuEkgn8J7i9nMA7pA4lISappxILKfAeSAbIcSDuN2bJcfZILqeO5rLs0MnngSHYRdrHjmaz7JEsEPw51ZqDJDmUIOZIe34WaQeegNsJn1qz8AIpT3yCjyEih/xELkuJ0lEMYTLVCiWpo5oYMleMH6USyYJcD+uOe+kWKpn1Qns34iyYDjkSLvgnZXcgVQNeqINXr48m3iS7cjm8tedyY0f1QvTnHHdsrKby/+SSbPY8/NH6vpl/Esq3Ae4ZU1HC44KFiI9o7CEgab/RqHbj7s5KAg06s39ZP/zxI/mVuF/TbTSy+3Fb8If9/cv7+wt91yy8RfP1QXtW5RzQn7qIiZyuFM5QfJ5E9uVnqT85TanFx0lkP3ukBAMprvsRyi/C8NAJL1xbIIirSvnSj4O5netb4JxmNANHPssHAcHMHsFRgEug816gDBeMbdfiuRcghqYcm0+Xxx/5IAEtN3fqFF3LzAXqwoT0PN0OVTNqxo8sxMkd5Ig6k79Zk7VxxX6gMLOZFQgvpW2RrMW1D0BDihaXQ9wVRoBxPLfpknmkeMtoB/qM9cRc9IqmMD2XUmdZ7GSRKPUZvChf8BoykriM2MnKYbOHX8R7cLdNCxSFFVQqoYswnlWtlFS2mNkhswVpZiQW1J/UKFfipHGlUkM6UKBhMz1istELIHJLMSctu3ugzfaVSOjKvUgc/THK4Sdg2Wscz69leKIkkrwuuWiOe9yGYKQXRumkC3qbRcMwrvhjNXgdZk3RxAUEhuSPvn3nnd++U/3vlVOmrJzCD8JLxV1OHRjrZifbcFDOuRNTGqdgQm1tSNJ2OcQ04YiEXuxtII1ECSQRoQGYioEsgCfchB4ghAtw7FfJre4WZ9hkVi9MtjuWqtdNDlpMrfEG9fOT6q21okg+e4As38MfGquNt7oUws6Ysarj1/efE+yst86YUVNvDdts3Pv5c8m/aP0C+f8/Qb+IMnGq09BgwN01oIOAnAdagI8mBSrqk1gxTDUBOtk2ousEtBH2z4Ir2d3f6k8PXXVlt2qN9RODxRuoJT/v27wm09jRYVc/e++iyx2tyzJb/n3J0htXP87eSsQaf2Ly0s6Zmxela88REy1cf4273mI3iXNJ7KxrZibOm9xm6rl4fqy/t27smU8tOfdW2ucBzg2UfmOIVyLIl3kpYlwphDISTXJXsctmiDtN7fNV6zelgxwnWxsVr83Aj/S5ki1jL/a0GC6+2L6Um+aoddlNFuj+bJ8mH/iaLh8I0/U51NspIEfq0dohwyFXKgm4NggwQ4rRhCOUFtxxo8XnitT4cnGfT93IS8FaT85XE3H5LMY4zIEPL1hw443wz+1UmhTJyJGxZzw+wsKkKZgUiVtKOKMEb2AKHTv61FNc01PQFwKnvsZ/9pPA4RKTASWahmh+8MxwzHxKy74IRn5LGRjsPUUwTu64UYNY38caqd7HKucZ/tHnODtENw/2UfHRMaq1UUPDJQ0OKkWCeet5fYOhII1VRz8+/Elg5j4Gxur3J8o2PJ4rg+2d08T/fwEzSVbyZ9XPro95T477lRKqUSRXQnauHNsISAl27oWi6Fv9z48JMv8r/aMMj8onCP/DuDZOuN+GPPr/+p7bx+7JlbYdppcNhzKU/1Px5aiaGDn/s1iGMaBcleKUo/v9rcxkZj7DBEKOfrayytXNLYiUdBY+pleQXdnscKlQcpzuWluxsieeyuXIK6SdxozitWyGOV3vOHHjguyCQ6fpIYy2JwvrQEF/Qa9Pdf/QqOSqCiE/EE1/XIVKTc2tzWbHnimrEd+Vyz311Ml3P0GVTj7PD5aDnsvCvH36alEaPMePcMegXs7x8igTu4B9v7G9vTHvhCu/kzIdx+BxC0ay9zRSvoS0F2lIxI+X7klU63I40gLQ3w5ep5na+SFnba3z5D64zv+QtM4n4ffG3tq4aNHGRfxgrXPMim+5487abL7xhdseIRn1KDl+7aINixdv0OD+JSPwKf5+xoP6aiTeQIDVlIhMcL1H5R9PYXvprs3fv2bO7MOplCmweuiq2JRZ1zz+9a/v2PH1Hfz9236w+ZrPXvWfAxlj4NLLHpq3c/PQ3uvmvbrjG7fe+o2y/cLdtE6VUlXi0ASb1VLUBVSUWSU4HdvAraTyS8xzM8NxvxFkXV6pUVRiJwcgC5zEeht4rwcp7ki0k41G0qlQhG1Vzlq8alEmnFi58caB5Q9vn988MLhqyVlHvLEWjtQFeupdiocF/tkkOGPW2ibWaBTkeZ/dvPWazXfOnnvL6jkRXpi85sFzZt+55ZptW3bl1cCCHZPD06MhySha7UFzjcjbp8fOecFCirzAG/yVjBX6OFIaadSjQq1nNhyIe8tVbaaSdHlXIWKacMeuZA1uxS95zILhyrxAdsXTL6m7kNQlx2P9uZf2qhufePFFbpI6/OU0WcP99RrCsrwseVot5mtytpf6Y0gm9sdeyKnPQ7onyK4nXlR/rg7H95M1upzu89DH6pgUcikoiihJ6NJKmRxV1x+MJiOA3YwhDRQrWU0u/0rvq0VYXnyCwsLeTJYBq3dAtJDavuzyoVpzZ99Z0+a0uoiFH/xcqgDR7rUFeOrUn6Cywb8ZeNMbhLV5ugP9l0zv9UN5b5mFkjzxUcpPJCn3V402pRxtJd2GrnLdhtVk9ZSZh9W91fCSH5B7ofxPiWL+j3D/uwhBRdyAyozeZwvQzs79soi+BKSnafLviZCcfrpBpLyimfLfTyJtbyruIQKD01tUwJyKEo/ybaxkSNFUMdMkhQoJyRBQFhnUkDQSXhTM+3NmY0EDM7ffLIjqWEGt8lCO6mLia3PukFnghosJD5p5SIho/VDkzQfLE+IrYoJXkD19pdP7OwG/voIUtagiWiZ4PAFTHHlTVhRZ7dYmPar+NJ+8JhmR6DFK5DV1foHoLNO/pHrvZfmWZ15RQlwvoVDKhCWNK3CCch9lfFBuAqUgpFSShmNaPj+i5++WZfKeViJfW5HnUakVL4UCNVkA4+ETfIqx4B5xSaP2L1yn0zn2ltPn4+OqZGmwwEVCaCSqG53ldtL1oLGAhdMLd09MpCCF6tD6ZnAZBY9hDaYsP0jzZ0j5ZjKsF4i1UmLuhbJMCnYJPt5VwFNvmZawXjEvLJqIH8STonZjq7BZ8gKgR20C9MDFqJAX1H64QW2NEup6qgzLP8cvppL/NNTOBTCJABOHeWoXzLhw4Wuy7gaBtjKr9kgKq8ZlRYBS32Lpxc8vIhpNDTfyNXWybMJbn2RyQ5EmWc2QF9wmSZ0KYCE+cPuYO6b15Uotj2Kd4MItLS7gtFbkTdrFND6pvEZqv5Yv7jXAus7Pg7avo7KDot50NX3CPkP+Kps8J9/3mGQIteY/LGPC+L7872SPR2br5fy8MtKBMHedGuM28/MZmPJMrGgi3Gb1S+Si1/L/zrZwO9XH1ce/z7ZQ1WSoY/+pMb5FT4ua0Wm+Jf/298nFmChEQ+Ti71est4mq9VYI6RsymoRJKYidElT2FGnDTZvqtfhGAFTbeqEw68GqtfmbVa/1IFO1/jdWr/8BDRRtQh9XNjubEm4aWVpVonpTGR7PVGc+KJNoBIWF7kYi4gUV3r1U6723i6TxUl3n3/tM27aZfKb7THiHW9VzFSwHJ05VfK6Ar7kaB0XgPPE0BSkSFKsBUpaLihEWoA9wBt8qirh2VSOkZwXEwyrxZ5jyt2rJmSo9gX7cg6jsEUGJU9z9xJPOEM3uQQxKgkh35DNATnVyrmJ3mbCNyIB/yox4wH1bg2DwN7q9kov4pFqny8oSm3RQbGgJ1QQTs6ZMLilOVYJ9v6Wha3HcJ9jddsXp9YhGUXLXt/qMDnvLpPNTXfNa60z5/yjXQOMq+lNmwh5egpYrdfZQZV9rI47xlRkuyTjpzsmCBSWNkAXVoK8sgYWqQJWbo1RLo6QH0YW6pxqfCnRgkd+RiFjUQUQ7poIaYoakgXxwFd9BuuI38H1xBxXSFb/pBDIKQFn7YB3dB36l7sG1FLaKiBdp1KxLvfswap/30lnVESgNnvjbUoT6w9N+Xoio0qcYOIM+heg940YimsucQVvli9NEcft2UZwGQwLuilj1fFr1i3NP94X+PE7Hpvtj6lBJfJ4R6NvWiaL6MgzWHxiN66DExa+dAdAbMYX6HVF8A+7rjEZIXAVbDe7PVI9rmN69JOLV1DOSvRPxWNPZBZf/Nf+Ny65BhYxxxV+77XJ2wfQ389/IQPgajXbwMsuAz/0IaQcXJavKbRqR2IqyZruXjVC2+hdee/5vdnYOedpmVtR3NGXldxSzDSIiBVpkGb9by89UpEPKrSLZmyFDzMab/wXl2CNe7s/qCtTvWgG5kpBmCBlSzDS/r8N4uwBwohRW63JTS1y32f0TQsPfXVGEHQrV8/NCfiOUVirYcBbIeA2+iF68rQIo3B/S628vYESr79ehzS7Q9LEL9UXmik9XVHb1yBO3Ngvt5935+k1efkV51mzzrM0LL3/20avnwMeKuWyOUZg2TasSqZ+KcZQiOn1Iu2Vh497ALUVZiCKt/gh6IvTIj1ZLRjWAkpHKOKovNwp00eqPROiAbiNEKieXwMLcXhVJ1/uzmLP4tfxaHR59cBdJVG1kTAgl9ze9QKUEQ946Hkb+okJ5JRDyf54Axur1D+WS49cLr0tTPEu7UmXrxcSr3XNvumv4yXzInXKH4F7Tc7p17Zt+t/qW2+93k063X7VW6lALxTY7i1nBXMxcxmzQbabxz+tJo+wijYaIGMNS8AoSMgAPt84DdHOoMPfjXhF+kuH1tZvuFQrRCN07xGcXRX9MYxYchDe5BcHj+Z4i+42WyPc8Xofi7bbZJN5nJLJ5qr6IqRtzqNlM17SpFsnkEyTWoABEjz4JXOQvzWYuwdnV5LNGOwTM5v9r4RpQ8ZXsYodks3o31JBlzbYtNotisnm22MxiwGFXam5oN1n0TA/hRvshvTSDwHff4nNzRo9Dum6PaJbMXzDz+x+Fkj4L4bFNBb1asqsgH7Dyh4DvbkPtf5yMDKzEwyoaESMSNS9P9gJVA3/RTlwoMwZvxECFWxIPNw9gi01nOHjP32esZTtmXHnxvZd8ZtakqQ7ekajbXetpNa6ocTVxJtY+uSe69OLz77zh5bDR3xjZMzUz6fxrz1nqrZGcHQHfPVefN+fiK86LeXj+Sc5lPKy+k/vCUI/DaLFYCWHr6nbXuILTIsb5imNKY/rCm28fSMxPhkN1XbNMNZGuqwOBhtTSxWuTk6bw0ZaG86b1hKddePOKuBvmiguYBn4T/yOqOyGRBt7bKUI1GjioBC8aUKwF7Q319UgcmtFGIzCJGBqwQij0ynDsfdFGc3TS3BlNfJ25xmzniMkpXXTPvCaD3ZaZvyzjmZdudBostmhb0ORZNN2sJBeed1HXkrUsywueQH+L0eCPxmsa5ZpgRJSDZ11yDv+jmbd86vxZfc1WcZJ3UkMq1BOOOVtvu/+pB+en186d3GTwWAw2jheaJs09/+LNfZft37DALyrNj1wABMuUKbODyTVnT/KYbJ3Tpq8IrNh92dkxOj5P/YpZx4/ycyiVcDYdn4JbEoKdQi9054iBKsygLW46FRGxAb0NPNCm8BSNCPjoKcj6EAus4SuP3rB+cV99/eTF6294dA8+TK6v74MHVpYNRt/I30e8QGTOOdfGWzzxcy+87a7bLjw37rHw1nPzp0KyyRSeZO+QQhInt3dYgvycjrPOv+T8s1rptaP84VeywdWX2T4ysr0/7TLIs6+x9zib56ye1dM9e/XsZmePY3NDs9zlnNVt4+WgHJbbz3Livg4P9WWgviOMm4kCRT6I8vw0NbUUEnFvOuFKoxQW1gTsvFirsF5pb7qTUCx4i7VmtToveaDxvK9uOaedVvPRpVOnNz0Q6bry7uiSdQ8t7Vy4JQKVS+XPplV2ts4bvCwZu+KzgITtxepaPRzWdpv74muvv6RO0SorX6cu/dqKn/XWnrtp/Zragz13DUCl5myiFW2Ycvb0PtsXnU+tx8pvLFbUspLX68mdegwmOif/NPDONajTGoUh6tU56HBJCTBASVvNUB5VIiKpc9kd7kludodSFz7xQbiOmMk5dOYk56gzL6uaf7N8a6MQOHm0ae6snZpFDfuT3/jdYzjzwkXXIVHoXNuCfQslQZqBZjTsoHMqrkE4jaYdgkGz2ATOgB3cPkSukD01DnV3ttb1wx+6arPqbkcNAHoFPzKUUQ+qL0k97pjbZv1I/egC9zTFbrrlFpNdmea+gIgfWW3wqkcis8ky5FAcRd1If5nNZrl2FFpungc8wpoCl1BpQV/ScS+zjlASyUTVv/AJ46gkJI4bHX4lTnloctxPZE1ckS3+jG2fKIjkQFyzuo8jvYQG1OrGvJPSTu/nSp9PHNTl4z5hK/8gtXVKF6gEKiglgcKiRlCESsQCV5QIlKWKpr34lt/wkSx/JCmP5/cBKQfl/5gd+rOS/+p91/+YCg5CXK2W4M9fu+/6xxX+vnelVuldIDCG0VQTpU9Dw4pRfei+6zWx0MLie0gPbyrkmRU7OwT16JGeyXLHqOLqAfVN1GPlBzWtFNzj0TRTCjogtP1NjIvu5habN5Aoa1k66wGpqriVetJgiGdwDZtKhnN0y4n9sXYnsqGmZfDSR15+5NLBlhoDaedEm7sxmpqRija6ZEEg2EAnTiAC8IrmFbGz1q08P9PSkjl/5bqzYqT9hMmptEXDgTqP3Wiye+sD4Wir4jCeoHbbp5hRfpB7BakUIppIlPCD30dR1GtslDz8OsqbXmejFC/v8wu5X2myq7SJ8Avzv9DFUJySf5uNvq4+Ti7W9D/OZrLChdwxmPNiBRqVjnpK/aGxRCDspVYKAW9AN1JANoo8wP4BJUlGqdgw6m1qPQ2QW3+OfU5/ieLS/NuKpDU3uf8bcAXyBal5jMR2NEAbPAZt0K3hvxHBEDlUxfIGcD+N2gNSNx36nfqlAYow0puatNpRz0e4W2oahKzQHsjf2c16ad/3t2KTtPobnX6D8C8pd0MDP+Kx7wnXqGGlLQcvikMErm6TmfsuxJXbSAxqNjOogJLQBLiKEHAE+JGTS3JoEhTrz8/CB+5YlupJ58aOat8Kv4JvregxwcU5Cp8GFAFm1FyOfto6GS2m1NGTS6CPNKkbsTdCBlnN9onMho55BX8IJZtEQ35lk+htwN5A0V3RCPoD/yXAcv6pAtbZczRUA64JmcUf4q7Q89ZHLeJVZ5D1Ps/t+0iCT3AHVtZC7JDCXfR7OSb/Xja5H3zQbZL1B+ULX1BMTEk3AseSpmnKEK4T9ekMIidUCRQFfcbj7z8gNLvzF7mbhQN8h6ZbRset+nQWdS/ZX3k7WpS8P9sfo0iGS64wV516pOhjI6TZ2dApgI5+LhxywYoWxKUrykKJsIoDsR4mSrCTg0egMPnLW/3Q5Nn8BZEuzqEI7HK3n0+zFmuO3TtWQ5WJoG9YqCD6Gc32SxnbnVPfsxvrFXK2dILl7bLthDp6glhcsfp4bYvbSmj/mQ94uBTw0E73x2jbNRCvC6VL6GCFDwU7eWQDcC5FY5s0slieRDwtAbRsbLXbaXAuu14e2OJw1dc6jQ3ZdY8v7rv2/BWZLqvFWVvvcmwZkK9f5jS4muO9yR5res4kfkRxhV03L1RfPOiPtYi8pd7jNEsOpyTwxpaY/yCZu/Amd5Or9uS3DYaeqVOhH7gZN/8I/wi1fEuLXvyNivibjuKvN+1Nc01HF/3h+ef/sOhox8MPd5SFucPjorQwXT+ytA8EmA5mamHNFDVhBI5pjZbQpugBNkO8MvRub8KVDKST1Wag7D3xlin1ZF7LFP/79nbvCXFOY+PUjrT7/otsPXXZ4exdPzuhZuL5LUXVAn7k7PbhG89uz3b41X01gbjP1xwlu5rrvvf9+pbs6E/Vu7Nk642/PYRaAiUBdrmO6CDTBLPQFA1ur0uXoBR1INDMkypKpoTqnSMx5GiEdTEaSHLs0Alvu/19/5QW9Rv1U1ridT22i+53pzumbs+XFFXYC++CGsTj5JUT/GCgRt3n78i2n71FHG4/u6X++9+raya7os3ZbDmgWfXun44e+u2NZKuGZ0HiF8M4TlMPR+EU6rPKRJ8wOU2RFUFLex3egEsz3YqEAq0cqhAAW19dBZIlVzR61tuIdTnpXH7l+uXrbjPUyep+8cl6aXKWhPHpDcXl9KiTWDNr4mBQc8Tq+NzK/OKSbsfl79o9G20R+brBXYvUg0rLHhtrc4TN81TTOWSZ0gL1ZVlOYH2ery/7XVUjFMbzYpg7UswcqJPQwBd0LKLabJ8IaCr2otcjSkIrGwootKECaUd4XH1+SdazRrfddkBU98t1htvWrbjqSqjaCguxrffM/5zDCpBALUycmajhd+R6ww4SWafuZ5eU+tPid4lgd3gt+b/Y9rQoZNmiXYPXyRHbRs8zX/f4WIFjWZJtUdSD55AP3xtXH+ZipC0EqdBGDA4CoYEU6gRLGPU11QhkLTBiEYPiqOeQgwTCl9aok1Qr5pFf71qEeNxjy/8F0GoqYPv75Yh9j3x4DuJ+uEzHRpAq2lMqb+qfTdiq6kGtzfOWsv0c7lSeMXDHBDe1MT+LUgx0Pg/p87u2UicdIvqQi8DkxhcUwUXCedMpb4NQjwY3npTmgsURJavLwCRyEcN2HfWsDVGfv/u9ZUWUx+PYFueUKwaNvbtu+Xps3eVWbN1GcgVrdMnWJ7WmJz9SD66EBidag0NF1Ukep0t5A7sFCWdhzvYwHv6L/BehXuHqfaBwBEU7hfVLcXvS4VQv+T/vaSIl7cbeMc7ekv9i8S3e1L5xxpvMGcu1EYPbKyCiijjGXcDKckm43PqU2qNWlXusZMiqF82cuVzolUHN9NNR0HZPxFPV9V0wLtvq+k4DqOwVWDlzuQLVdqFiP08cRX7aRlBVfR8cb55bWe5LExnlcsDp1vAP8Q9BucPMk1Ulh4GnN0SAdxcNHv3q9ohx1Ati4S/tkWjIDe3hQdkUGrGRaFBiUdiTSkI41UkMuuQHP+EaSQYlPQTFWJF03BNPpTu5KFAdkWgDukzsZKMG0Q1TAQQglScOaP/dsZ8+fP75D/9Uu5Gs3FY/2SxPld0DHOciXI9gqjcEidXjE+3BLosy0OcX3T7O5g65ROGyzQ2BZs7WbZVnO5ydLe32hMwTQ4wnnKXW6XW5LAa7oaXOIHoUl0FgLQLH2by8wSTWeAx2Y5PDazK3BqZbeJZwXGPaYhX87ZNszoDdaRxotXO1nNlpdvAPFWHDm8PqEE0sZxDEqGzxisFNnuCWetPcGrObN0p23tTZwMuRVodSV8+LTrOV3eRvzjQZiSjaLYS1WEJe0kNsJlZu9LFun7++wW4gRDRbaxw2nrOGm+xOj9cmtbp9ZqeTM1m8UXfQQCSTVSQox6pvtjot/FpHvIUjJovFEoYvHYV9C5Y/xN9OfcalvII37UEhTbTg/AQIaPb4Vz6j5u8/aViycMod/fkDcpu8QZbZoeBi/vbzP3XPsZvOubMtaPHkD9jt6+U2O7vqU/9C9SMvgrXpQNG/E0oJxun+CiElUa0IKQSUwERxOntKSV7ekcuh9VBZBBo3VUcB58ofKBHCwLyf9qFosz9Ibf8dGqwaBMjRig4SGOZ2UkWI7UiO9OfUPdxOYFApUZyfpY7mgEc5rtNGGk2H1lPhAk1Hp/VAMqQEHEUfEYkkUQq1JMdzsX7kklRrTrUi1wMcDjmu1YYfATj7Y+pGpPEBXuoQIj8rR9mgCl4C9yqmF7xnVWxGVniNqtpVmXBvQ6iwni5YQ8a1jYrXtc2J13HvgkvqWxuva1sbr+P2S5ceKGyBwDv2DbrToe1u6BkAJV7xnVLUaq0sJB8pFqcUIPi3yuwxi4JuLr+P30f3OkPQ72aO0xYo3/EsmO3QO5qEF8S0qQH0UsKXv0brnl9+8M7jF174+DsfvPOl1au/RL5/9DsbNnwHL2pHR1NTRxMZhJtHktOOxLxErPF6YlLvpC9YP73x+4ofw+3xVdrHcDE0dQQCmCRgvt9b35xINDf1CDcRSfJ+pYl+Sf8YcurfmXP5F/kj6J82jNsrkWiEuhVlgFfyNkB3S5MUzLhoNiwSCYcxQ7Ui4J0Xh7fmqRbaPa1tzujxkBRlsEHy0/OM4pYLPb7g9O6BQJN6l9zQ0OGyCaZz0vMTbHOzXfQ7a2tsterTcqxeInODoemdktw+1SbVhKwtW9ffe8VKadK0OVuC3bWzyKm5LeddsWTeorWyY9IMtUFutdu5g+Rn533qkocdvLs2HmhU75br/MmWtD8zA3OP2t1ea636jEzqYxJZGAwFiDEd61oTsrRuW3/3pYNi3bS+Rd+GjOfVpAPNd6y64Gsz1GaZleWIPoYL/v9mTeQBENVEguiF1aC4YeXxFETw6QyPfn0m9g8IrMFAvKM1EI11DARnbqibHk/Iojy5rSdgCyZi06y8sS024PeuO4MfwQ5Y9yKRZCqyYaF30vzeHlmUprR21tR0t0yz8KZY66zWuGvxVQB/36kP+K38t2Hu6NQ9SFJfw0AdpqPEK2qTMpf2VCqJwqPoJezTL824b8akoL+x03nhh+oNo5e77psxg9Q5LzebIKD+fsY34f2MtB9fk9v5b8PT6tYrgv4kRPwd0q9z3gdJSJ0653KjCYPwCaR5aUY63eW48O/kdo33yxX9wCiMv2QTrk8eGSI6Ag6moG9t2P/F7GRNlDjl0gw7pJ5aOXXqyqn8SENnXBmbSwUYLyqJjv3UmY1nKr4t80no0faXsaIEiF/BRaIBnItSce4OUif7W6Vm9T9H1X9Vj71BEm+RdmIJQST/ZfVdudUvh9S/qqNvqT98g9SQ3lHibZY0mRVHooyDN/FHmTgzjdozKw28NwQ0hwN6BCoPKaEk3YtKwNhwRLXuk076CGoZNXDQcRwZvreTZY9EZi+d0s4+ztv8iei04JQl6ZbDD2eHV7X4uHuFVfPrOmcs6m6Kr7hssr+1VZFcEZ/PdJkn1hOs8SXS/NFFgqt94PIZzZ3tdaL6Q5vo6piSzdy737pwsX1VyxUrF15iJ4uNkq+rbyg1Z+O8VsNC1UmcvORPRfxtPrfRwL2p/oA1eZp6Z/aGffoewaXcA/xBlKlQLfhQL/oPgBGP3qsA7IQS8qDVNswHKRSheDUvA3Q7MZoRcJMxlEygujn1QdyzfPfq3dEp/bXh5e5YXW2Ngfvza0ZF6UgFL/E0fTq4LBlvTE2qb/KuuzYSXVnjTfM1osvqMHVbm9950quIZlbqaL6YP7jk3kUtA0GnX2nvq53f3WoSsvEdDRnULgo2fN7lNZJgI8/VWi33c3bBZnGY05+dm+3qc7fNmj4YGKLj2nfqFP+g7jdDlxEV5XsJQZP6hYrS1l0VQr4c69Xueixp90gnZPmE5OF22j+SYEWHlZ0K/Hgsh/Ztsbh6h2DNRlvv6jJh9XaJaHCZDiUDKNTMkvb8vsqCyf3ZNdSmO0fa0Y4baJTtpbKzuVzeeSI7fCKr2Z0WypapnXJ4gnoWy3PoUIlIQ1TXdqhQJIXp9Wx5fYdpeWh2TY5D+YVyKd0jw3iumwi/BC3cEy4o83QlZnW79MrCgCjbhWXBlRZVVZZv4rIKpXC01HFlHdHLoeWVl6UVc/J5uGm6CViW5mulYMk+HqNYr0AyUPivLg2oMs2MPqtuhHyRyiwvNJej1Br+fcLyoAyu8D9B7bgmzUqfFobF5nKnK4+t8MPJkI/xHUNWk117jugWF+xazTAALQn6+UE9lhoI5ApGA/iuJOsrlNP28SVVuBVajXmircLel46w2bJS1Q0Ft0KDuikDFL/3pYrid1Q4FvofwRIo4R9h2ftSwc6jHAMqLcCql8YPHtlzGoByNXYN6v8hXnRaOhUvx0sVLCexwupGDR4NOYC7PePa5keIPACnuAdD7dEadRuTIiS6Lb7uskb381My5yjzF8lGCjBRqdwrWJCagfB3yCy7XT1i92hbcZ5Ci1FJkgYMDf6n+jspIsHFjJrTOdzSMuOa9DbDcj/nH9N9bIoGVgzHPWIQuFuYtaMRaq8eCKI0gEF6lPOZjBz3EEvaaxwSUT9U/8JbJZPJJLBLolH1La/RbF9AbC8JJjv/mMnssKjLRBJyqj9QXxNko0Ux/X79epfiXkm6fmKwF/en1HLc6LxloXWKvGa5rVCVL83VuiPcDEX/K5pTXOxHfx6HHB0t2FI0qI2rCZFTrvPWU67zVuS/kTsLnc7IKhFg30e4FOkqNSfH5PtkmUy6Cpiv/36k2sbqCeCFNa+URpoY0sZoYmCgCr3qgZz6s8I0gP1bYiR+D79H56NOz0EVWCTy2/fffvSCCx59W7uRV9995eqrX8GLesOXNm360iZ+T/El3uZqL+FyzSZ8XxpTiI/G0nkT4zznFZ0t4ipMz5v4q9ssqbdKUZt6u82knPCrt6PZwsnn0XySVnyPR1ZXAn72yx48bWJsu7apnI3Hy8bygUK5Js32qcytapqgmn95uexccj205vGgJ+euOeG2SORmKZr/qKzcx9SFctMJdwMUFZDJITs7dnOp1EKZCxg304Cevyfya+vlKqv6aXK1qIj3imL+L6hL+yvUlFfE0VKZ7E8gBY3M/8VoJCFgizH1W6VyC76nH6b7jiibYVxUmVIEspry/LgZIlCeP11Z4zs/AwvVwtGFEut5S1JY4lfyT0N/evOLo+rUEgjcqc9IkGpQbv3iW7Co5b+KgjvpzYdH85PLcc4X21ouwEGl/S4qnUAvoSlXUUhR1eKr2VWFTB+GMl6FsiQsVD1R3urlAAIoSn7JQkmiVVCHSpCwDH/qPepXQ0Db77CJOAImohB+RPWr31ev5g/kE+zTa4lbvZo8xdWPffQu9yJTPCNB66s+zXoJt/0L6hSoCuBIoK8fnBGG87OoRckJpLqyWe4YbpGi50g0+3I3UD85Oa0fzubfoXxPLbW3FDWzigmyJeM0tQkax7PqTy80+UxfUHPlBZIRVNQ+v0xRm8REKPoLmNr0+Uo48v9GFbXPKylqQ2IKm00QddgyWGMROCTxdLB9nCY8P7j2DjlsV/+mfr0C0r/NkeXbbpPlOTBBwT0mVz1zx9S/wJecBF9Wgv3p032iP2v4VSgfgW2G+HUEdEXU6iq4CtpLJfIN9XQG8dwa1VoO8XC2SrPDDyCOQptXgbcPvlAgBfxBoGwftQKeKFrNTASPt3pGGqDt/QRasn2kri+H6L80MJRsmVYJrAKyDItpJUy3/15WYIJqcJ9Q5N/LFJ4c3dc1URpWl9hW6mu50MUIelg4ucTPf15zs5DFo1c0VSp1tKB9jkwIyuM45kb+IP8gHed+6jO3v0KbIknzLy636E8KPTdCuUpB0wLo9JKnAO6pv0vS31EtBha/fJemkgLVVnd8KCk4qBTpQ5m7FbifBKrPJcq0pZAFVG/XbOFz+Tcq2MLrcmV28Nmi/OHskh82bau0k8eWCaPijQPWQ5lUvslwVCfHkXBMIehqUgtDNLeauH1huvZTbYmw+luPjyWoNGEuxRLR7LK5fSyXFUyK7PURQv2v8D3XOt2NJ6liBbmPGOsakw1kbeOs+31Wm5qpH+iJWSzqdPr2O7zc2TmtnrzCig6bBd/vgQmzOlz0STWIlmZEQfupogOZFHUZ7EkUnMn0RrpIMqAgHRJAOjIJ3yGw1I/MAp9q9S3Q/clADNm1wEeO+xbwg5OIYHZLY3ehG5lJk2xhco+6JWybpEVz2wrR6hZyD0QXZbeDVB+onmlimpkWprdAs4WEZDSQppsDlcdCBJJESIYFuAtUnC4GIF2C3Uu2Kv7L1bdz6FxtqxpG4TqQOqOUNAJ2HLvPWA2GgDy4O4vaDrtyl6P+1fAll+SyFcQ28GHqh7fvvf37udylf0fNwhzgz87Y+cf5x9GnF6ygHu18sAbipWeF0YPBgp2GaKeQduxxdEr3SgbH1kvH7tvqSLhedomOvZyts2dw8acu3dY/f+ucuMtCuP/e4zC4XnH3OLZ8ZuxTWxy8dJfU5dhDeKPSlJy5pn/+7u3XrJhmr9C5CuleGflGQocKnlAUaRKp0BAHV0ZwUt9VCqk6zYOgRIuMfePJzdmBdpPJ7/6B23+f+sp9NMDZevovvfYHG5dGPISQq1DojqNckchVrCcCYz/Q0hI0m3NKDRfkgsrnamo+p0CAq1FyvC3a3Nak/s5VX282x9Ufy3E39VAx6o7LpCvO2wK+ch9jNqpJCutcIOooKnYWtDK8gTRVYygRQfwgzKM5+jP2jOZdx3r32Py7rQUPOzAnoRs95NvRAR0qLGU11Taqu1bUYSzMcWjMEir067JQQHfIrLBHsrgv00/Wavd8HRLMEEYFSW3HCSNQehnrHztKqHcDyo4VfZ6gPKCR+gufwA8GegxUEo4A+gd0BASHiH6jYMLIsUdQJTs/C641KN4oCHWolCMLlMfIdtWKScjx7SM5LD9HnfmhrGI0S139UWfUnxgOXdJFW+AMcGjKr6eHAttHF5sUoeArYKDcxMSYcKA/xUDhPiEOEAPafSIUFArN0r24ynI91EPARDXvIDYyvqZaWeroBOUABQA/E+DXC7PWafDLQY2oiwpUEyj4RQtVlUp1GrM7In2p2A7VuiOW6otMiGOo5Mrp05ejVuTy6dNX/k/7mybZQ0nUmfrbx3U4KueDnlHm5wdh8FFeKnoaKKh/TK18StOPhwG9Xo5mqXAxvw/79YQwwDR+nAKQQ4izVXioB84qcppWB7IqjU45z4CE17OvF1Dw+oTFqxtz8dxwtogBnF9MjIl/in+K8s3hM9laIn0TiCbTAXL0T798bPXqx36p3chrv0O+GC9Xaj48Ecv8U8UEeBvUEsDlTepiU5OvlpeNGvpnKF0RvUooWhIjnx6GeBapXCQYTw9DNg6/OC3gZjp76oNTj9Kz6Jqobxb9NDqc08vcKReOpcsQV2K8InXFaXW3aI6Ofr1k48rp7CX7rx+v1UKPsfvzQU0Kc83i2VdILmd2/yX55zT9luN2+Cu4nKfwPcK/CvDVU+pHh8+LaldIf1fA5h3ndT6Fln9/W/9Ce1vndfvJtnPVO2xhm3qbafHVCN1X363UXHq9xuVD8OSD29Z8pZ5cZrern9cAdGW/uib/ud+VK0L9a42r6C90kL8KzxwLQw9NkIQJL0ASU8M+VG0KsUdgdvpgP/6NqqP0/gHZFUfGEijZLHpiIgvV5/Bltrj8Qd7XQd5p4P+7tJo30NMO6VGBwahSPMYiaaBYoLY6uEnciyhhh1Z/vvacG/rjpsvnpzs0B1Id6fmX8119l88XnOxe/uGrzzHcdu7UtY3+2vmXN5zUyj3ZcPl8p1sZSs6/nGXtwrV7Ka0XZdz83fwjjINpZWYw85lL8BRK4nGyIir2RiOsEyipuEcIakpGjWgBjLiHWOgj0Yi34gW1kKPxHt2Na5q+lwg1RdRSpFDNzosb44YJXnAfoEOpZW//6u1lhYA6leevezbI26zNHO811M2dc5HFxpk4i1jPC0s21/BWW5DnPQbn2X1WK43/aM2n18DfSoybbNHijFpamzXI31eRibGUOxSu/lT96YZlq1Yt20DaSBuG6knw2eusHs5EPBfNmVvHKdaQzcDfz9ZsXmLDWGXy2U5OsYSsIn8CS12jQIyD12KKqZrLPy7mSPdICmd6WGHG8NDZkkHuE4h9TU8FpmUO/VjC/EinToFyoNDz2p9XD6g78WgQdPG7Z3R0T/Z5dTM9lsL8Ktek7szl2L+gQwGgwkZHc2g5Su7NvVqwGy2Ua4KSXUwt1X4PaM5paaEu6jQ5zVFyNabxvUksVt2T/4VeamYPlLtffdQsk+2sUTY/zDXl/05W53/Bz9UK3p7LjapZ2ZxOm+UlZXrL3HHGqO8+wVroDaCTTnTxitMxmiAAYQzVJQH+nj3oIHnPaN6Zq6sNSLjBl8tKgVr2mj/9CWi9dnKca8rBQBsd5R1tzVlgrl5pbnPw6kZclCr2CHxMnHohLz+3KRQokzALyeIKFU1TNCiayJdoHvDYe7K6mZLm8S3uJ9dojuaJ62/qN/tjQxnSnhnKPw+LNrLi8ZKyJ3x1YhiI1aNAtP6NzCGzYv3DmaGh/LvQZnt0evgIhTFV0kE/PYxAnOHhCQUZdCWY5JWJwMzlAGl1mpNbDU7yyGnhRMILsYhH3VRAijrPcBU8/Cj1Y9NY6cnGVW0CjTLaz7E3epvaT/LtTV72Rs+0WVVmd0dz/MGTI5F0OsIviaqDlbbO5X6xT3PeXbXHRtf/z+fdka+eKPr8KF7IF4vBsT9MFPuPJMBTBMq9hQxXelQ+bewnf18ap4Ib+mSMrtDU5zqlD8QANa5MBGh/OwOvSDfcV2d66mfEWsbGWmIz6nsyZDWQSmqmxDneYyvjHPmRXHZxeueyRGLZzvRioKnGto9nIPkibAJA16adcOZRQr1iAP3bUyBR7T4RgAWTKxhkCYFwshq+7iV9r0whk50cmRcTg4fy5x4OmmNkHndIA2+YuMbmE9dwGYB4KFTsvnDE6Ah47r/fE3AYI+oXADpkdlENcZ8OZEEf8FFGZNxMs6ZLpG3SUFLL7Q2kcFU/A/Jsw+vWDa/7emewLaoeibaF1B9qUNnuqWK3+UfXYVL1v/omD15xxeDkPnXTOKSVcCbDGtOu0YQNpGAP7U1HU58UrqGu8xIbHtkQ3LVhb7Dx46ET3Ffcm1q0YcOizNmf3bC3VjWfAcpSv3MyTlgJ23FHQgmgvk+gk8pL0mcCDOn08MDAQlf+/SlTZ1z12fnqntOhbOTL9/ZdevbAPN+yby1f/uUtC/ixm8ZBo59LTXEW060hGrTDplNprWd58fwB/b/E27BdS/s7U+rGVCeQ46nzaw9QccnmZerGZZs3Yw9aVHt+Kh6HN4ti6lxIhT/wahnZtWwzlY9QHQ2c79C+dxzvVDKy8GqKWQERO9YAKbpsDUTLdWV5dE8PVPjvj9pqw7ah/PFVtkit7aj6G5xY9mfJrCz1j1e0BcnPol4UjtrCdbahIVtd2HaURujnFJR8CuOuUUfhrGhgKKgjCYNSvCc1WKlEp8wHUaAYynFNyzZn+2MnYv36dbMDBTonl/T/ma5IKAyEGz+4eRnVtaX6tss2o34u8mWorFtuFgm4A6qK/yp/gLEBVat5WnPDdKA574ubuFJ/IUfZ/Y2Nt6mN+ZNNTSTaeI56gKwkXerTe9DDHUw8/H35FY3nNN7GGuBKWhrV9ep+0k1WjNWVaHkW1yA+QHWNu8rtBw2a5YXuE40rs7/GA+j09V3hA98yRnFPOGr8ltGlsFdD/7tRce3LH6Trcneuiy7K7J3khKu+3qUaXPWaX7T6/Kfj9BX2eZq2XAcZT79u1ClJzUtHUqfqSMWBcZS43Ena0cUGLgpkKxB1QM+0Fxz10wgg6r5rltnFpH05pepUq3Y2HfYqeKRntmUFNz+XmcOs1H31U6cC6RTVLfCg7RNBF1UF2/wBgu0fFQtPEU1sSg3VcNsR7dWq3af87tUFn1l3ltXpaJxpNvtcZkH2WmMst3JqRpxUH+WC0E1qOGtP66s1MYv+VLu8/XFXvV/ZbunYYBeVN64ls0ur6NzpV9xzlmQwB5qC4Tq70WC0tk8dWJXeHvkD0h9zJOM0vD86/1NJMaIAolctvlByferCsqOKDKceOfUu1PsmoFCamV5mCrMUOCi6V6FJosMF22AcrKJgQDVhfYh6tepp/lYgvnCEAbJQ1L0rOpajEmRcasMiPfxhgGoVo4rwreQpV6fUJHH2e8fa1s2c13Apl1b89a58ozdoap2sjgLN9uISl7P1DrulyeIkt0zr6JjWocoPOZsaXPb6jtqBblsgsaRre2xHi4nELm0MhG1+x1SXwLpFi53b+aHRYo/IrbZtuWAKu5cSEXfybnnmUCaXGTpQr0xK2O2WWY76f+nAjNVf7nCZHU5XqIkTnpt6VtvsFlPXg1031g/VRdpkkyVpD7jnmax88QwDvg/66NnMRdRXTcGTmQc3cuINwN5IQqi0yzb+YFVHuVqI5s4ADfg5oE4ybDLd28mFSFmYvRoomsWXEdLU2Wl3GJy93ZNb/d5gqmNaqJZSO1l6PVRy0nZIj/45EetjLguh1rLqR+SK0hO6NrsqcNX8zoUdjQYDJ7tb4os6+i+Y0qpY2AWlnLRDWdGFTfGY1gV0zNAtJ7pdo24se0D88AwLY/gZmE9iuP4V5v7CSR/RThaHLh+UeBkXwU6BC7lGOevK65udTv+tS/PfW7qj3ljTcj3b9OkbV85t8xsMj7Ddj7DGpthZKwKPvso/c/1K9aLE12fMWLV1y1D9ua8lyJdWXr/bG+noCFutf/mLILe39ITUV4igr3876fpX5g2zeB52sWnIL4fXHlgeUzOx5QfIvJQyrKQE9wHUqVq+PEaOrz0wVvNbJZVSfsuMzxN4l9PkedFzw9V5Dj+nzpgoT4ZxCxJfC5RWLc74YVHxKlExCYt0JAOMatREhHBSCAtSfod6x6Ls8HCWECLwXZ9nd5Dz1T24JUdWs6fU3++fcnT49Qe+kBs+wdsMZgPXMp3U5S958snPP/EE7bvkOPCuTUDTUQ/UzirLhML9yPahoe1D5Fj5jWsaoveyP00PehdUAHk/seDVWsvDWXXXsyn/4wfpXc2V3/Qxli3jl/5hj/83avSCfpTNxOEKLmTjxOEKuxgNlsQn0xgct724mhynupNW1Ph6o3RYS3/+2TJrzLlkFz+ip3qCHKf6eqW02QJLjBYuuj4sobhCWqa/YHGEHpcnumuWSOhxeaL7sOakNR6vvmo+YcfFA8UFXEPZf9UjyudIOyNwx/i90DdsujS/FX2UAwvWSVK4NxaMhAGw3oowp/uc8CTi7D2rBgZWwb/60faR7SPsEbjkXy4G0XaqhXPwe2cePjxjxuHD6ssQuR1fq6PF0E+o2t1nePTn8TUmxz/A3crMoCc7egESuoTHYc7mYdg6etORoOhR7BBGD+qJopELrl4S6cJNRtEAsLP/OdvnJq0Wo0GolY2Et9VFB2Kf+4bZvVyxfOMz3WdFfSIryj6DwWghre7aQbdiDrkTL3A3vNDuDpk93HqXwam+bWmUJZfNn5ozKV5Pmmq8PF/jVY+2Tlk2M2RzSXKjmbQ4RZcQavEYrN/9rlXwtIQqzxQNMzPPfHYLvuPoO9TbT8bpGw5CQPGd+SyX/Cyf0Vxjd2R9NmsunnXYa8xGHzn+sSfM5J0y0DZEXWWxkXjcR75KBLNLHi7XvX2G8VOrf4Ykg0AMdBESIpo7MgAfyakA6rkqpI6UjNs0px7cMV+D5BF49Tez1VGnYmq0WIijp985m4Sn2gJR9b07riPPFo97OYbUZbxJCpot7H/lpZBicglCPN7WOfJkcHqc3ElWqvvz/1E6bIQrG+tz6WkM1SM9FBTR7FSs8KyBBytSmNEoquJNFN5EQyTiCrnKDx1h58yxCepPHU5nxGoxEQeeOZi2m80DxNxncVhr6BmEfUarxejw+WSiHhWk19bSY7aKR5MsteblJpfTLtjimBouXsm3d3djjYM+wEW0El9dM/ueVRWIsXwe43R7SgbVZqrnqoJ1X/kuF7pcgf8duv4q6vayV5U9zMV91GxO59UUjW8rHV6u799WzKMT7umRCXbYUKM+foaCcwgaoqZUtmodV3p+X7akb4dnU9B9La38RPFUG2SCC90tVA4XwEFhyOpZZrUCsgWYHsczLFBBVGNtstoN1bw0Z+O4fYIbvZVt4EUcJEKOhHeincWqONw+q6w5Go+WGOSR7LhKV+KBqbBPpfUvOf9QqkpDyVhBeyyZQGMsdA5FBUqvFMtUyGq9vjnsAJU4UcrxldP1CCaofyDkSAifoP5QwWx+SyUGxp75BzGAvtG7uQ38LehlyEQMeh0TeE6Bm7tYdXqdkt0uOb3kfYlNwmOdDyacOq/qlFo1v+PTmTi3E/glC9W11b34A22zmLzvb231Q0L2Bgg60OTW4YdstO+YOJnO38TtpH7zy9ymokWyA79qlVSn38HtpFlImFnhu3b4boNWXklOXV0Iwo7lQ1hrZyPFcwtjwFP7iEKSHSSJw509kh8kj6pr+H1jR7km9vcvqN9657vffefkv+fKxge1X+7RdjYUPIESN7gTvRkB/RMYtEkaVkdHApmdBPpnKmz0n1xSWFOyVIuLrinZwpoCRe6kyiVZoHX088F+UX4+WKS4iBTP0IWxGtZgOdMaV4KTayqHQF/VihBwTbgDXTCmKoOBJeNhwJMzEVjtjIFLuU38fPR7hqNG1JS7g/qRCuy3vmQ3W9Vu8qbVbP+SzazGRJH83MzP90Ck2m31mMjP8TiLn5uwD2Ugr2PFvPQjB5BnSJvQxGQZZEB+LopqzGzDbMmbkAPkZVJjeO5FzOSBKCgJze2ZS4Gemc9twrwY6u9H61iUQTcRvtdT9RW3tRxAWwFs2tcuJRnI6xjmBdWjbgFNRHMHiF1uHYBfUR/ut5Ug2jXAaT96+9RH/FToRwIzGbKmVJ1AZQnoabSB1yyIg7ByAridHApPMjyw0OiV6RjSbCuzwLAvFizBliWJua1tsuAgvNPbmljYbpt8lkWam7b3XZiOiKJskMOtmfScnsbPW208knwjuXrXK4Q1iKIgNyYXXDVT9C2Ye/78GQ5BEEXfFdde2RwauOysdJNL5AzCy84ard/nGAVN8alecnFdgu5Gbd5DJTL+hHZK0vApVy3OfU8XTSJg1TlssivsPYUlIqvn66PzrVTymCc4wgF6SDNR0pDf+9Gp+VnsUH5WtpHYsuhOaey8zdwLN47V8MTbm78g687+P3cx6tcAeNpjYGRgYGBk8s0/zBIfz2/zlUGeZQNQhOFCWfF0GP0/8P8c1jusIkAuBwMTSBQAYwQM6HjaY2BkYGAV+d8KJgP/XWG9wwAUQQGLAYqPBl942n1TvUoDQRCe1VM8kWARjNrZGIurBAsRBIuA2vkAFsJiKTYW4guIjT5ARMgTxCLoA1hcb5OgDyGHrY7f7M65e8fpLF++2W/nZ2eTmGfaIJi5I0qGDlZZcD51QzTTJirZPAI9JIwVA+wT8L5nOdMaV0AuMJ+icRHq8of6LSD18fzq8ds7xjpwBnQiSI9V5QVl6NwPvgM15NXn/AtWZyj3W0HjEXitOc/dIdbetPdFTZ+P6t+X7xU0/k6GJtOe1/B3arN0/pmz1J4UZc+D6ExwjD7vioeGd5HvhvU+R+DZcGZ6YBPNfAi0G97iBPwFXqph2cW8+D7kjMfwtinHb6kLb6Wygk3cZytSEoptGrlScdHtLPeri1JKueACMZfU1ViJG1Sq5E43dIt7SZZFl1zuRhb/GOs44xFVDbrJzB5tYs35OmaXTrEmkv0DajnMWQB42mNgYNCCwk0MLxheMPrhgUuY2JiUmOqY2pjWMD1hdmPOY+5hPsLCwWLEksSyiOUOawzrLrYiti/sCuxJ7Kc45DiSOPZxmnG2cG7jvMelweXDNYXrEbcBdxf3KR4OngheLd443g18fHwZfFv4NfiX8T8TEBIIEZggsEpQS7BMcJsQl5CFUI3QAWEp4RLhCyJaIldEbURXiJ4RYxEzE0sQ2yD2TzxIfJkEk4SeRJbENIkNEg8k/klqSGZITpE8InlL8p2UmVSG1A6pb9Jx0ltkjGSmyDySlZF1kc2RnSK7R/aZnJ5cmdwB+ST5SwpuCvsUjRTLFHcoOShNU9qhzKespGyhXKV8SPmBCpOKgUqcyjSVR6omqgmqe9RE1OrUnqkHqO9R/6FholGgsUZzgeYZLTUtL60WbS7tKh0OnQydXTpvdGV0O3S/6Gnopekt0ruhz6fvpl+nv0n/h4GdQYvBJUMhwwTDdYYvjFSM4oxmGd0zVjK2M84w3mYiYZJgssLkkqmO6TzTF2Z2ZjVmd8ylzP3MJ5lfsRCwcLJoszhhyWXpZdlhecZKxirHapbVPesF1ndsJGwCbBbZ/LA1sn1jZ2XXY3fFXsM+z36V/S8HD4cGh2OOTI51ThJOK5zeOUs4OzmXOS9wPuUi4JLgss7lm2uU6zY3NrcSty1u39zN3Mvct7l/8xDzMPLw88jyaPM44ynkaeEZ59niucqLyUvPKwgAn3OqOQAAAQAAARcApwARAAAAAAACAAAAAQABAAAAQAAuAAAAAHjarZK9TgJBEMf/d6CRaAyRhMLqCgsbL4ciglTGRPEjSiSKlnLycXJ86CEniU/hM9jYWPgIFkYfwd6nsDD+d1mBIIUx3mZnfzs3MzszuwDCeIYG8UUwQxmAFgxxPeeuyxrmcaNYxzTuFAewi0fFQSTxqXgM11pC8TgS2oPiCUS1d8Uh8ofiSczpYcVT5LjiCPlY8Qui+ncOr7D02y6/BTCrP/m+b5bdTrPi2I26Z9qNGtbRQBMdXMJBGRW0YOCecxEWYoiTCvxrYBunqHPdoX2bLOyrMKlZg8thDETw5K7Itci1TXlGy0124QRZZLDFU/exhxztMozlosTpMH6ZPge0L+OKGnFKjJ4WRwppHPL0PP3SI2P9jLQwFOu3GRhDfkeyDo//G7IHgzllZQxLdquvrdCyBVvat3seJlYo06gxapUxhU2JWnFygR03sSxnEkvcpf5Y5eibGq315TDp7fKWm8zbUVl71Aqq/ZtNnlkWmLnQtno9ycvXYbA6W2pF3aKfCayyC0Ja7Fr/PW70/HO4YM0OKxFvzf0C1MyPjwAAeNpt1VWUU2cYRuHsgxenQt1d8/3JOUnqAyR1d/cCLQVKO22pu7tQd3d3d3d3d3cXmGzumrWy3pWLs/NdPDMpZaWu1783l1Lpf14MnfzO6FbqVupfGkD30iR60JNe9KYP09CXfvRnAAMZxG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<h1 class="title toc-ignore">Code-for-Log-Part-I.R</h1>
<h4 class="author">Matt</h4>
<h4 class="date">2021-07-22</h4>

</div>


<pre class="r"><code>#Split for Log- Part I
#Knitr was silently timing out when I knit the entire replication file
#I think it has to do with memory allocation. Hopefully splitting the
#main replication file before the error will solve it

#Hauenstein Rebel Substitutes and Amnesty Main Replication File#
#Setup####
library(multiwayvcov)
library(lmtest)
library(brglm)
library(tidyverse)
library(coefplot)
library(readstata13)
library(corrplot)
library(viridis)
library(stargazer)
library(car)
library(margins)
library(xtable)
library(Matching)
library(rbounds)
library(MatchIt)
library(reshape2)
library(beepr)
library(BAS)
library(GGally)
library(tictoc)
library(Zelig) 
#Zelig is not working on CRAN (for me), installed manually.
#install.packages(&#39;https://cran.r-project.org/src/contrib/Archive/Zelig/Zelig_5.1.6.1.tar.gz&#39;, repos = NULL, type = &#39;source&#39;, dependencies = T)

#Info
print(sessionInfo())</code></pre>
<pre><code>## R version 4.0.2 (2020-06-22)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 10 x64 (build 19041)
## 
## Matrix products: default
## 
## locale:
## [1] LC_COLLATE=English_United States.1252 
## [2] LC_CTYPE=English_United States.1252   
## [3] LC_MONETARY=English_United States.1252
## [4] LC_NUMERIC=C                          
## [5] LC_TIME=English_United States.1252    
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] Zelig_5.1.7        survival_3.1-12    tictoc_1.0.1       GGally_2.1.1      
##  [5] BAS_1.5.5          beepr_1.3          reshape2_1.4.4     MatchIt_3.0.2     
##  [9] rbounds_2.1        Matching_4.9-6     MASS_7.3-51.6      xtable_1.8-4      
## [13] margins_0.3.26     car_3.0-10         carData_3.0-4      stargazer_5.2.2   
## [17] viridis_0.6.1      viridisLite_0.4.0  corrplot_0.88      readstata13_0.9.2 
## [21] coefplot_1.2.7     forcats_0.5.1      stringr_1.4.0      dplyr_1.0.6       
## [25] purrr_0.3.4        readr_1.4.0        tidyr_1.1.3        tibble_3.1.1      
## [29] ggplot2_3.3.3      tidyverse_1.3.1    brglm_0.7.2        profileModel_0.6.1
## [33] lmtest_0.9-38      zoo_1.8-9          multiwayvcov_1.2.3
## 
## loaded via a namespace (and not attached):
##  [1] useful_1.2.6       VGAM_1.1-5         colorspace_2.0-1   ellipsis_0.3.2    
##  [5] rio_0.5.26         fs_1.5.0           rstudioapi_0.13    MatrixModels_0.5-0
##  [9] audio_0.1-7        fansi_0.4.2        lubridate_1.7.10   xml2_1.3.2        
## [13] splines_4.0.2      knitr_1.33         Formula_1.2-4      jsonlite_1.7.2    
## [17] mcmc_0.9-7         broom_0.7.6        dbplyr_2.1.1       geepack_1.3-2     
## [21] compiler_4.0.2     httr_1.4.2         backports_1.2.1    assertthat_0.2.1  
## [25] Matrix_1.2-18      survey_4.0         cli_2.5.0          quantreg_5.85     
## [29] htmltools_0.5.1.1  tools_4.0.2        coda_0.19-4        gtable_0.3.0      
## [33] glue_1.4.2         Rcpp_1.0.6         cellranger_1.1.0   jquerylib_0.1.4   
## [37] vctrs_0.3.8        Amelia_1.7.6       conquer_1.0.2      xfun_0.22         
## [41] openxlsx_4.2.3     rvest_1.0.0        lifecycle_1.0.0    scales_1.1.1      
## [45] miscTools_0.6-26   hms_1.1.0          parallel_4.0.2     sandwich_3.0-1    
## [49] SparseM_1.81       RColorBrewer_1.1-2 curl_4.3.1         gridExtra_2.3     
## [53] sass_0.4.0         reshape_0.8.8      stringi_1.5.3      AER_1.2-9         
## [57] boot_1.3-28        zip_2.1.1          matrixStats_0.58.0 rlang_0.4.11      
## [61] pkgconfig_2.0.3    evaluate_0.14      lattice_0.20-44    prediction_0.3.14 
## [65] tidyselect_1.1.1   plyr_1.8.6         magrittr_2.0.1     R6_2.5.0          
## [69] generics_0.1.0     DBI_1.1.1          pillar_1.6.1       haven_2.4.1       
## [73] foreign_0.8-80     withr_2.4.2        abind_1.4-5        modelr_0.1.8      
## [77] crayon_1.4.1       utf8_1.2.1         rmarkdown_2.8      maxLik_1.4-8      
## [81] grid_4.0.2         readxl_1.3.1       data.table_1.14.0  reprex_2.0.0      
## [85] digest_0.6.27      MCMCpack_1.5-0     stats4_4.0.2       munsell_0.5.0     
## [89] bslib_0.2.5.1      mitools_2.4</code></pre>
<pre class="r"><code>#Set directory to replication file location
#setwd()

#Measure time to run 
tic()

#Source helper functions - see readme
source(&quot;Bootstrap.R&quot;)
source(&quot;InteractionPlot.R&quot;)


#Descriptives- Figure 1 #####
source(&quot;Figure 1.R&quot;, echo=T)</code></pre>
<pre><code>## 
## &gt; load(&quot;Figure1.Rdata&quot;)
## 
## &gt; lm &lt;- lm(amnest_prov ~ log(battle_deaths + 1) + log(reb_killings + 
## +     1), data = data)
## 
## &gt; test &lt;- coeftest(lm, vcov = cluster.vcov(lm, cluster = data$id))
## 
## &gt; ci &lt;- confint(test)
## 
## &gt; plot &lt;- cbind.data.frame(coef(lm)[2:3], ci[2:3, ])
## 
## &gt; colnames(plot) &lt;- c(&quot;point&quot;, &quot;lb&quot;, &quot;ub&quot;)
## 
## &gt; plot$pos &lt;- c(2, 1)
## 
## &gt; plot$pos &lt;- factor(plot$pos, levels = c(2, 1), labels = c(&quot;Battle Deaths&quot;, 
## +     &quot;Civilian Killings by Rebels&quot;))
## 
## &gt; head(plot)
##                               point          lb         ub
## log(battle_deaths + 1) -0.002730325 -0.08830737 0.08284672
## log(reb_killings + 1)   0.031743378 -0.02722604 0.09071279
##                                                pos
## log(battle_deaths + 1)               Battle Deaths
## log(reb_killings + 1)  Civilian Killings by Rebels
## 
## &gt; fig1 &lt;- ggplot(plot, aes(reorder(pos, point), point)) + 
## +     geom_point(cex = 4) + geom_linerange(aes(ymin = lb, ymax = ub), 
## +     cex = 1) + xla .... [TRUNCATED] 
## 
## &gt; fig1</code></pre>
<pre><code>## 
## &gt; pdf(file = &quot;Fig1.pdf&quot;, width = 6, height = 2)
## 
## &gt; print(fig1)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; rm(list = setdiff(ls(), c(&quot;cluster_bootstrap&quot;, &quot;int_plot&quot;)))</code></pre>
<pre class="r"><code>#Descriptives - Figures 2 and 3 #####
source(&quot;Figures 2 and 3.R&quot;, echo=T)</code></pre>
<pre><code>## 
## &gt; load(&quot;Amnesty Provision Main Data.Rdata&quot;)
## 
## &gt; fig2 &lt;- ggplot(data, aes(Year, fill = as.factor(Amn))) + 
## +     geom_bar(position = &quot;stack&quot;) + theme(legend.position = &quot;top&quot;) + 
## +     labs(fill = &quot; ...&quot; ... [TRUNCATED] 
## 
## &gt; fig2</code></pre>
<pre><code>## 
## &gt; pdf(file = &quot;Fig2.pdf&quot;, height = 4, width = 4)
## 
## &gt; print(fig2)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; fig3 &lt;- ggplot(data, aes(fragmentation2, fill = as.factor(Amn), 
## +     color = as.factor(Amn))) + geom_density(alpha = 0.75, color = NA) + 
## +     la .... [TRUNCATED] 
## 
## &gt; fig3</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig3.pdf&quot;, height = 4, width = 4)
## 
## &gt; print(fig3)</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; rm(list = setdiff(ls(), c(&quot;cluster_bootstrap&quot;, &quot;int_plot&quot;)))</code></pre>
<pre class="r"><code>#Main Results - Provision Models#####
#There will be a delay while bootstraps are estimated
#Will beep on completion
#Produces the following
#Figure 4
#Table 4
#Figure 6 
#Figure 7
#Figures 11 and 12
#Figures 13 and 14
source(&quot;Provision Analysis.R&quot;, echo=T)</code></pre>
<pre><code>## 
## &gt; load(&quot;Amnesty Provision Main Data.Rdata&quot;)
## 
## &gt; coefc &lt;- matrix(nrow = 1000, ncol = 7, NA)
## 
## &gt; coefc_small &lt;- matrix(nrow = 1000, ncol = 2, NA)
## 
## &gt; marginsc &lt;- matrix(nrow = 1000, ncol = 2, NA)
## 
## &gt; databasec &lt;- na.omit(data[, c(&quot;CID&quot;, &quot;Amn&quot;, &quot;log_frag2&quot;)])
## 
## &gt; datafullc &lt;- na.omit(data[, c(&quot;CID&quot;, &quot;Amn&quot;, &quot;log_frag2&quot;, 
## +     &quot;Inc&quot;, &quot;v2x_cspart&quot;, &quot;v2x_polyarchy&quot;, &quot;v2x_clphy&quot;, &quot;v2x_rule&quot;)])
## 
## &gt; popbase &lt;- unique(databasec$CID)
## 
## &gt; popfull &lt;- unique(datafullc$CID)
## 
## &gt; print(&quot;Starting Continuous Models&quot;)
## [1] &quot;Starting Continuous Models&quot;
## 
## &gt; set.seed(1015)
## 
## &gt; for (i in 1:1000) {
## +     samplebase &lt;- sample(popbase, replace = T, size = length(popbase))
## +     samplefull &lt;- sample(popfull, replace = T, size = .... [TRUNCATED] 
## 
## &gt; coefb &lt;- matrix(nrow = 1000, ncol = 7, NA)
## 
## &gt; coefb_small &lt;- matrix(nrow = 1000, ncol = 2, NA)
## 
## &gt; marginsb &lt;- matrix(nrow = 1000, ncol = 2, NA)
## 
## &gt; databaseb &lt;- na.omit(data[, c(&quot;CID&quot;, &quot;Amn&quot;, &quot;bin&quot;)])
## 
## &gt; datafullb &lt;- na.omit(data[, c(&quot;CID&quot;, &quot;Amn&quot;, &quot;bin&quot;, 
## +     &quot;Inc&quot;, &quot;v2x_cspart&quot;, &quot;v2x_polyarchy&quot;, &quot;v2x_clphy&quot;, &quot;v2x_rule&quot;)])
## 
## &gt; popbase &lt;- unique(databaseb$CID)
## 
## &gt; popfull &lt;- unique(datafullb$CID)
## 
## &gt; set.seed(1015)
## 
## &gt; print(&quot;Starting Binary Models&quot;)
## [1] &quot;Starting Binary Models&quot;
## 
## &gt; for (i in 1:1000) {
## +     samplebase &lt;- sample(popbase, replace = T, size = length(popbase))
## +     samplefull &lt;- sample(popfull, replace = T, size = .... [TRUNCATED] 
## 
## &gt; baseb &lt;- brglm(Amn ~ bin, data = data)
## 
## &gt; fullb &lt;- brglm(Amn ~ bin + Inc + v2x_clphy + v2x_cspart + 
## +     v2x_polyarchy + v2x_rule, data = data)
## 
## &gt; mbaseb &lt;- summary(margins(baseb))[1, 2]
## 
## &gt; mfullb &lt;- summary(margins(fullb))[1, 2]
## 
## &gt; basec &lt;- brglm(Amn ~ log_frag2, data = data)
## 
## &gt; fullc &lt;- brglm(Amn ~ log_frag2 + Inc + v2x_clphy + 
## +     v2x_cspart + v2x_polyarchy + v2x_rule, data = data)
## 
## &gt; mbasec &lt;- summary(margins(basec))[1, 2]
## 
## &gt; mfullc &lt;- summary(margins(fullc))[2, 2]
## 
## &gt; plot &lt;- rbind(mbaseb, mfullb, mbasec, mfullc)
## 
## &gt; ci &lt;- rbind(t(apply(marginsb, 2, sort)[c(25, 975), 
## +     ]), t(apply(marginsc, 2, sort)[c(25, 975), ]))
## 
## &gt; plot &lt;- cbind.data.frame(plot, ci)
## 
## &gt; colnames(plot) &lt;- c(&quot;Estimate&quot;, &quot;LB&quot;, &quot;UB&quot;)
## 
## &gt; plot$Model &lt;- c(2, 2, 1, 1)
## 
## &gt; plot$Model &lt;- factor(plot$Model, levels = c(2, 1), 
## +     labels = c(&quot;Any Substitutes&quot;, &quot;Average Substitutes&quot;))
## 
## &gt; plot$Controls &lt;- c(1, 2, 1, 2)
## 
## &gt; plot$Controls &lt;- factor(plot$Controls, levels = c(1, 
## +     2), labels = c(&quot;No&quot;, &quot;Yes&quot;))
## 
## &gt; fig4 &lt;- ggplot(plot, aes(y = Estimate, x = reorder(Model, 
## +     Estimate))) + coord_flip() + geom_point(aes(color = Controls), 
## +     size = 3, pos .... [TRUNCATED] 
## 
## &gt; fig4</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig4.pdf&quot;, width = 6, height = 2)
## 
## &gt; print(fig4)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; m1 &lt;- cbind(coef(basec), t(apply(coefc_small, 2, sort)[c(25, 
## +     975), ]))
## 
## &gt; colnames(m1) &lt;- c(&quot;Estimate&quot;, &quot;Lower Bound&quot;, &quot;Upper Bound&quot;)
## 
## &gt; names(plot) &lt;- c(&quot;Estimate&quot;, &quot;Lower Bound&quot;, &quot;Upper Bound&quot;)
## 
## &gt; m1 &lt;- rbind(m1, plot[3, 1:3])
## 
## &gt; m1 &lt;- data.frame(m1)
## 
## &gt; m1 &lt;- round(m1, 3)
## 
## &gt; m1$CI &lt;- paste(&quot;[&quot;, m1$Lower.Bound, &quot; --- &quot;, m1$Upper.Bound, 
## +     &quot;]&quot;, sep = &quot;&quot;)
## 
## &gt; m1 &lt;- as.vector(t(m1[, c(&quot;Estimate&quot;, &quot;CI&quot;)]))
## 
## &gt; m1[length(m1) + 1] &lt;- nobs(basec)
## 
## &gt; m1[length(m1) + 1] &lt;- round(logLik(basec), digits = 3)
## 
## &gt; m1
## [1] &quot;-1.136&quot;              &quot;[-1.781 --- -0.465]&quot; &quot; 0.871&quot;             
## [4] &quot;[-0.107 --- 2.029]&quot;  &quot; 0.172&quot;              &quot;[-0.025 --- 0.347]&quot; 
## [7] &quot;164&quot;                 &quot;-95.435&quot;            
## 
## &gt; m2 &lt;- cbind(coef(fullc), t(apply(coefc, 2, sort)[c(25, 
## +     975), ]))
## 
## &gt; colnames(m2) &lt;- c(&quot;Estimate&quot;, &quot;Lower Bound&quot;, &quot;Upper Bound&quot;)
## 
## &gt; m2 &lt;- rbind(m2, plot[4, 1:3])
## 
## &gt; m2 &lt;- data.frame(m2)
## 
## &gt; m2 &lt;- round(m2, 3)
## 
## &gt; m2$CI &lt;- paste(&quot;[&quot;, m2$Lower.Bound, &quot; --- &quot;, m2$Upper.Bound, 
## +     &quot;]&quot;, sep = &quot;&quot;)
## 
## &gt; m2 &lt;- as.vector(t(m2[, c(&quot;Estimate&quot;, &quot;CI&quot;)]))
## 
## &gt; m2[length(m2) + 1] &lt;- nobs(fullc)
## 
## &gt; m2[length(m2) + 1] &lt;- round(logLik(fullc), digits = 3)
## 
## &gt; m2
##  [1] &quot;-0.405&quot;             &quot;[-3.349 --- 1.722]&quot; &quot; 1.232&quot;            
##  [4] &quot;[0.125 --- 2.753]&quot;  &quot;-0.594&quot;             &quot;[-2.037 --- 1.397]&quot;
##  [7] &quot; 0.135&quot;             &quot;[-4.213 --- 5.519]&quot; &quot;-0.493&quot;            
## [10] &quot;[-4.27 --- 8.766]&quot;  &quot; 4.040&quot;             &quot;[-4.273 --- 6.632]&quot;
## [13] &quot;-3.528&quot;             &quot;[-9.117 --- 0.679]&quot; &quot; 0.235&quot;            
## [16] &quot;[0.025 --- 0.424]&quot;  &quot;159&quot;                &quot;-87.661&quot;           
## 
## &gt; m3 &lt;- cbind(coef(baseb), t(apply(coefb_small, 2, sort)[c(25, 
## +     975), ]))
## 
## &gt; colnames(m3) &lt;- c(&quot;Estimate&quot;, &quot;Lower Bound&quot;, &quot;Upper Bound&quot;)
## 
## &gt; m3 &lt;- rbind(m3, plot[1, 1:3])
## 
## &gt; m3 &lt;- data.frame(m3)
## 
## &gt; m3 &lt;- round(m3, 3)
## 
## &gt; m3$CI &lt;- paste(&quot;[&quot;, m3$Lower.Bound, &quot; --- &quot;, m3$Upper.Bound, 
## +     &quot;]&quot;, sep = &quot;&quot;)
## 
## &gt; m3 &lt;- as.vector(t(m3[, c(&quot;Estimate&quot;, &quot;CI&quot;)]))
## 
## &gt; m3[length(m3) + 1] &lt;- nobs(baseb)
## 
## &gt; m3[length(m3) + 1] &lt;- round(logLik(baseb), digits = 3)
## 
## &gt; m3
## [1] &quot;-1.239&quot;              &quot;[-1.946 --- -0.527]&quot; &quot; 0.945&quot;             
## [4] &quot;[-0.018 --- 1.91]&quot;   &quot; 0.184&quot;              &quot;[-0.003 --- 0.312]&quot; 
## [7] &quot;164&quot;                 &quot;-94.032&quot;            
## 
## &gt; m4 &lt;- cbind(coef(fullb), t(apply(coefb, 2, sort)[c(25, 
## +     975), ]))
## 
## &gt; colnames(m4) &lt;- c(&quot;Estimate&quot;, &quot;Lower Bound&quot;, &quot;Upper Bound&quot;)
## 
## &gt; m4 &lt;- rbind(m4, plot[2, 1:3])
## 
## &gt; m4 &lt;- data.frame(m4)
## 
## &gt; m4 &lt;- round(m4, 3)
## 
## &gt; m4$CI &lt;- paste(&quot;[&quot;, m4$Lower.Bound, &quot; --- &quot;, m4$Upper.Bound, 
## +     &quot;]&quot;, sep = &quot;&quot;)
## 
## &gt; m4 &lt;- as.vector(t(m4[, c(&quot;Estimate&quot;, &quot;CI&quot;)]))
## 
## &gt; m4[length(m4) + 1] &lt;- nobs(fullb)
## 
## &gt; m4[length(m4) + 1] &lt;- round(logLik(fullb), digits = 3)
## 
## &gt; m4
##  [1] &quot;-0.546&quot;             &quot;[-3.592 --- 1.391]&quot; &quot; 1.291&quot;            
##  [4] &quot;[0.283 --- 2.62]&quot;   &quot;-0.621&quot;             &quot;[-2.02 --- 1.346]&quot; 
##  [7] &quot; 0.809&quot;             &quot;[-4.198 --- 5.499]&quot; &quot;-0.420&quot;            
## [10] &quot;[-4.588 --- 8.704]&quot; &quot; 3.681&quot;             &quot;[-3.703 --- 7.771]&quot;
## [13] &quot;-3.956&quot;             &quot;[-9.625 --- 0.217]&quot; &quot; 0.241&quot;            
## [16] &quot;[0.05 --- 0.401]&quot;   &quot;159&quot;                &quot;-86.088&quot;           
## 
## &gt; m1 &lt;- as.matrix(m1)
## 
## &gt; m1 &lt;- as.matrix(m1[c(3:4, 1:2, 5:8), ])
## 
## &gt; m1 &lt;- rbind(cbind(m1[1:2]), cbind(rep(NA, 12)), cbind(m1[3:nrow(m1)]))
## 
## &gt; m2 &lt;- as.matrix(m2)
## 
## &gt; m2 &lt;- as.matrix(m2[c(3:14, 1:2, 15:length(m2)), ])
## 
## &gt; m2 &lt;- rbind(cbind(m2[1:2]), cbind(rep(NA, 2)), cbind(m2[3:nrow(m2)]))
## 
## &gt; m3 &lt;- as.matrix(m3)
## 
## &gt; m3 &lt;- as.matrix(m3[c(3:4, 1:2, 5:8), ])
## 
## &gt; m3 &lt;- rbind(cbind(rep(NA, 2)), cbind(m3[1:2]), cbind(rep(NA, 
## +     10)), cbind(m3[3:nrow(m3)]))
## 
## &gt; m4 &lt;- as.matrix(m4)
## 
## &gt; m4 &lt;- as.matrix(m4[c(3:14, 1:2, 15:length(m4)), ])
## 
## &gt; m4 &lt;- rbind(cbind(rep(NA, 2)), cbind(m4))
## 
## &gt; all &lt;- cbind.data.frame(m1, m2, m3, m4)
## 
## &gt; rownames(all)[c(seq(1, 17, 2), 19:20)] &lt;- c(&quot;Average Substitutes&quot;, 
## +     &quot;Any Substitutes&quot;, &quot;Incompatibility&quot;, &quot;Political Violence&quot;, 
## +     &quot;Civil  ...&quot; ... [TRUNCATED] 
## 
## &gt; addtorow &lt;- list()
## 
## &gt; addtorow$pos &lt;- list(0)
## 
## &gt; addtorow$command &lt;- &quot;&amp; \\multicolumn{2}{c}{Average Substitutes} &amp; \\multicolumn{2}{c}{Any Substitutes}\\\\\n&quot;
## 
## &gt; all &lt;- print(xtable(all, digits = 3, align = c(&quot;l&quot;, 
## +     &quot;c&quot;, &quot;c&quot;, &quot;c&quot;, &quot;c&quot;)), hline.after = c(16, 18), include.colnames = F, 
## +     add.to.row =  .... [TRUNCATED] 
## % latex table generated in R 4.0.2 by xtable 1.8-4 package
## % Thu Jul 22 13:50:56 2021
## \begin{table}[ht]
## \centering
## \begin{tabular}{lcccc}
##    &amp; \multicolumn{2}{c}{Average Substitutes} &amp; \multicolumn{2}{c}{Any Substitutes}\\
## Average Substitutes &amp;  0.871 &amp;  1.232 &amp;  &amp;  \\ 
##   2 &amp; [-0.107 --- 2.029] &amp; [0.125 --- 2.753] &amp;  &amp;  \\ 
##   Any Substitutes &amp;  &amp;  &amp;  0.945 &amp;  1.291 \\ 
##   4 &amp;  &amp;  &amp; [-0.018 --- 1.91] &amp; [0.283 --- 2.62] \\ 
##   Incompatibility &amp;  &amp; -0.594 &amp;  &amp; -0.621 \\ 
##   6 &amp;  &amp; [-2.037 --- 1.397] &amp;  &amp; [-2.02 --- 1.346] \\ 
##   Political Violence &amp;  &amp;  0.135 &amp;  &amp;  0.809 \\ 
##   8 &amp;  &amp; [-4.213 --- 5.519] &amp;  &amp; [-4.198 --- 5.499] \\ 
##   Civil Society Strength &amp;  &amp; -0.493 &amp;  &amp; -0.420 \\ 
##   10 &amp;  &amp; [-4.27 --- 8.766] &amp;  &amp; [-4.588 --- 8.704] \\ 
##   Electoral Democracy &amp;  &amp;  4.040 &amp;  &amp;  3.681 \\ 
##   12 &amp;  &amp; [-4.273 --- 6.632] &amp;  &amp; [-3.703 --- 7.771] \\ 
##   Rule of Law &amp;  &amp; -3.528 &amp;  &amp; -3.956 \\ 
##   14 &amp;  &amp; [-9.117 --- 0.679] &amp;  &amp; [-9.625 --- 0.217] \\ 
##   Intercept &amp; -1.136 &amp; -0.405 &amp; -1.239 &amp; -0.546 \\ 
##   16 &amp; [-1.781 --- -0.465] &amp; [-3.349 --- 1.722] &amp; [-1.946 --- -0.527] &amp; [-3.592 --- 1.391] \\ 
##    \hline
## Marginal Effect of Substitutes &amp;  0.172 &amp;  0.235 &amp;  0.184 &amp;  0.241 \\ 
##   18 &amp; [-0.025 --- 0.347] &amp; [0.025 --- 0.424] &amp; [-0.003 --- 0.312] &amp; [0.05 --- 0.401] \\ 
##    \hline
## N &amp; 164 &amp; 159 &amp; 164 &amp; 159 \\ 
##   Log-Likelihood &amp; -95.435 &amp; -87.661 &amp; -94.032 &amp; -86.088 \\ 
##   \end{tabular}
## \end{table}
## 
## &gt; write(all, file = &quot;Table 4.tex&quot;)
## 
## &gt; basec1_no &lt;- brglm(Amn ~ log(fragmentation2_noinfight + 
## +     1), data = data)
## 
## &gt; basec2_no &lt;- brglm(Amn ~ log(fragmentation2_noinfight + 
## +     1) + as.factor(Inc) + v2x_cspart + v2x_polyarchy + v2x_clphy + 
## +     v2x_rule, data  .... [TRUNCATED] 
## 
## &gt; basec1_forge &lt;- brglm(Amn ~ log(fragmentation2_forge + 
## +     1), data = data)
## 
## &gt; basec2_forge &lt;- brglm(Amn ~ log(fragmentation2_forge + 
## +     1) + as.factor(Inc) + v2x_cspart + v2x_polyarchy + v2x_clphy + 
## +     v2x_rule, data = .... [TRUNCATED] 
## 
## &gt; baseb1_no &lt;- brglm(Amn ~ bin_noinfight, data = data)
## 
## &gt; baseb2_no &lt;- brglm(Amn ~ bin_noinfight + as.factor(Inc) + 
## +     v2x_cspart + v2x_polyarchy + v2x_clphy + v2x_rule, data = data)
## 
## &gt; baseb1_forge &lt;- brglm(Amn ~ bin_forge, data = data)
## 
## &gt; baseb2_forge &lt;- brglm(Amn ~ bin_forge + as.factor(Inc) + 
## +     v2x_cspart + v2x_polyarchy + v2x_clphy + v2x_rule, data = data)
## 
## &gt; marginsb &lt;- matrix(nrow = 1000, ncol = 4, NA)
## 
## &gt; databaseb_no &lt;- na.omit(data[, c(&quot;CID&quot;, &quot;Amn&quot;, &quot;bin_noinfight&quot;)])
## 
## &gt; datafullb_no &lt;- na.omit(data[, c(&quot;CID&quot;, &quot;Amn&quot;, &quot;bin_noinfight&quot;, 
## +     &quot;Inc&quot;, &quot;v2x_cspart&quot;, &quot;v2x_polyarchy&quot;, &quot;v2x_clphy&quot;, &quot;v2x_rule&quot;)])
## 
## &gt; databaseb_s &lt;- na.omit(data[, c(&quot;CID&quot;, &quot;Amn&quot;, &quot;bin_forge&quot;)])
## 
## &gt; datafullb_s &lt;- na.omit(data[, c(&quot;CID&quot;, &quot;Amn&quot;, &quot;bin_forge&quot;, 
## +     &quot;Inc&quot;, &quot;v2x_cspart&quot;, &quot;v2x_polyarchy&quot;, &quot;v2x_clphy&quot;, &quot;v2x_rule&quot;)])
## 
## &gt; popbase_no &lt;- unique(databaseb_no$CID)
## 
## &gt; popfull_no &lt;- unique(datafullb_no$CID)
## 
## &gt; popbase_s &lt;- unique(databaseb_s$CID)
## 
## &gt; popfull_s &lt;- unique(datafullb_s$CID)
## 
## &gt; set.seed(1015)
## 
## &gt; for (i in 1:1000) {
## +     samplebase_no &lt;- sample(popbase_no, replace = T, size = length(popbase_no))
## +     samplefull_no &lt;- sample(popfull_no, repl .... [TRUNCATED] 
## 
## &gt; marginsc &lt;- matrix(nrow = 1000, ncol = 4, NA)
## 
## &gt; databaseb_no &lt;- na.omit(data[, c(&quot;CID&quot;, &quot;Amn&quot;, &quot;fragmentation2_noinfight&quot;)])
## 
## &gt; datafullb_no &lt;- na.omit(data[, c(&quot;CID&quot;, &quot;Amn&quot;, &quot;fragmentation2_noinfight&quot;, 
## +     &quot;Inc&quot;, &quot;v2x_cspart&quot;, &quot;v2x_polyarchy&quot;, &quot;v2x_clphy&quot;, &quot;v2x_rule&quot;)])
## 
## &gt; databaseb_s &lt;- na.omit(data[, c(&quot;CID&quot;, &quot;Amn&quot;, &quot;fragmentation2_forge&quot;)])
## 
## &gt; datafullb_s &lt;- na.omit(data[, c(&quot;CID&quot;, &quot;Amn&quot;, &quot;fragmentation2_forge&quot;, 
## +     &quot;Inc&quot;, &quot;v2x_cspart&quot;, &quot;v2x_polyarchy&quot;, &quot;v2x_clphy&quot;, &quot;v2x_rule&quot;)])
## 
## &gt; set.seed(1015)
## 
## &gt; for (i in 1:1000) {
## +     samplebase_no &lt;- sample(popbase_no, replace = T, size = length(popbase_no))
## +     samplefull_no &lt;- sample(popfull_no, repl .... [TRUNCATED] 
## 
## &gt; plot &lt;- rbind.data.frame(t(apply(marginsc, 2, sort)[c(25, 
## +     975), ]), t(apply(marginsb, 2, sort)[c(25, 975), ]))
## 
## &gt; point &lt;- rbind(summary(margins(basec1_no))[1, 2], 
## +     summary(margins(basec2_no))[1, 2], summary(margins(basec1_forge))[1, 
## +         2], summary .... [TRUNCATED] 
## 
## &gt; plot$point &lt;- point
## 
## &gt; plot$measure &lt;- c(rep(&quot;No Infighting (Continuous)&quot;, 
## +     2), rep(&quot;FORGE (Continuous)&quot;, 2), rep(&quot;No Infighting (Binary)&quot;, 
## +     2), rep(&quot;FORGE (Bi ...&quot; ... [TRUNCATED] 
## 
## &gt; plot$Controls &lt;- c(rep(c(&quot;No&quot;, &quot;Yes&quot;), 4))
## 
## &gt; plot$ind &lt;- rep(c(1.5, 2), 4)
## 
## &gt; p &lt;- ggplot(plot, aes(y = point, x = ind)) + coord_flip() + 
## +     geom_point(aes(color = Controls), size = 3, position = position_dodge(width = 0.5 .... [TRUNCATED] 
## 
## &gt; p</code></pre>
<pre><code>## 
## &gt; pdf(&quot;FigA6.pdf&quot;, height = 4, width = 5)
## 
## &gt; print(p)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; basec &lt;- brglm(Amn ~ log_frag2 + as.factor(Inc) + 
## +     v2x_cspart + v2x_polyarchy + v2x_clphy + v2x_rule + groupcont + 
## +     groupcentany + group .... [TRUNCATED] 
## 
## &gt; baseb &lt;- brglm(Amn ~ bin + as.factor(Inc) + v2x_cspart + 
## +     v2x_polyarchy + v2x_clphy + v2x_rule + groupcont + groupcentany + 
## +     groupsize + .... [TRUNCATED] 
## 
## &gt; databaseb &lt;- na.omit(data[, c(&quot;CID&quot;, &quot;Amn&quot;, &quot;bin&quot;, 
## +     &quot;log_frag2&quot;, &quot;Inc&quot;, &quot;v2x_cspart&quot;, &quot;v2x_polyarchy&quot;, &quot;v2x_clphy&quot;, 
## +     &quot;v2x_rule&quot;, &quot;groupc ...&quot; ... [TRUNCATED] 
## 
## &gt; popbaseb &lt;- unique(databaseb$CID)
## 
## &gt; margins &lt;- matrix(nrow = 1000, ncol = 2, NA)
## 
## &gt; set.seed(1015)
## 
## &gt; i &lt;- 0
## 
## &gt; n &lt;- 1000
## 
## &gt; while (length(na.omit(margins[, 2])) &lt; n) {
## +     i &lt;- i + 1
## +     holder &lt;- matrix(NA, ncol = 2)
## +     samplebaseb &lt;- sample(popbaseb, replace = T, .... [TRUNCATED] 
## Error in chol.default(crossprod(W.X)) : 
##   the leading minor of order 5 is not positive definite
## Error in chol.default(crossprod(W.X)) : 
##   the leading minor of order 10 is not positive definite
## Error in chol.default(crossprod(W.X)) : 
##   the leading minor of order 10 is not positive definite
## Error in chol.default(crossprod(W.X)) : 
##   the leading minor of order 10 is not positive definite
## 
## &gt; plot &lt;- data.frame(t(apply(margins, 2, sort)[c(25, 
## +     975), ]))
## 
## &gt; plot$point &lt;- NA
## 
## &gt; plot[1, ]$point &lt;- summary(margins(baseb))[1, 2]
## 
## &gt; plot[2, ]$point &lt;- summary(margins(basec))[6, 2]
## 
## &gt; plot$measure &lt;- c(&quot;Binary&quot;, &quot;Continuous&quot;)
## 
## &gt; colnames(plot)[1:2] &lt;- c(&quot;lb&quot;, &quot;ub&quot;)
## 
## &gt; fig7 &lt;- ggplot(plot, aes(y = point, x = measure)) + 
## +     coord_flip() + geom_point(size = 3, position = position_dodge(width = 0.5)) + 
## +     geom .... [TRUNCATED] 
## 
## &gt; fig7</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig7.pdf&quot;, height = 4, width = 4)
## 
## &gt; print(fig7)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; varlist &lt;- c(&quot;as.factor(Inc)&quot;, &quot;v2x_cspart&quot;, &quot;v2x_polyarchy&quot;, 
## +     &quot;v2x_clphy&quot;, &quot;v2x_rule&quot;)
## 
## &gt; plotc &lt;- NA
## 
## &gt; plotb &lt;- NA
## 
## &gt; set.seed(1015)
## 
## &gt; for (j in 1:5) {
## +     formulac &lt;- as.formula(paste0(&quot;Amn~log_frag2+&quot;, paste0(varlist[j])))
## +     formulab &lt;- as.formula(paste0(&quot;Amn~bin+&quot;, paste0(v .... [TRUNCATED] 
## 
## &gt; plotc &lt;- na.omit(plotc)
## 
## &gt; plotb &lt;- na.omit(plotb)
## 
## &gt; colnames(plotc) &lt;- c(&quot;Variable&quot;, &quot;Point&quot;, &quot;LB&quot;, &quot;UB&quot;)
## 
## &gt; colnames(plotb) &lt;- c(&quot;Variable&quot;, &quot;Point&quot;, &quot;LB&quot;, &quot;UB&quot;)
## 
## &gt; plotc$Label &lt;- seq(1, 5, 1)
## 
## &gt; plotc$Label &lt;- factor(plotc$Label, labels = c(&quot;Incompatability&quot;, 
## +     &quot;Civil Society Strength&quot;, &quot;Electoral Democracy&quot;, &quot;Political Violence&quot;, 
## +    .... [TRUNCATED] 
## 
## &gt; fig11 &lt;- ggplot(plotc, aes(y = Point, x = Label)) + 
## +     coord_flip() + geom_point(size = 3, position = position_dodge(width = 0.5)) + 
## +     geom .... [TRUNCATED] 
## 
## &gt; fig11</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig11.pdf&quot;, width = 6, height = 4)
## 
## &gt; print(fig11)</code></pre>
<p><img 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84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOYdADUGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zCNQQBKpBZ1qoSZkgdKbekeiMvRGoIQhUg86zUJM2Ieg8vWPRGXufrkDv7U3rPPvDO4MfPbjyzAezg+nl2ezon14rfl19uSrVjcscXZ9emn/3cPrMB0tj85ueIAhUg86yUJNuAtBZekejM/YWCXQ6vTgw6EKgh5UTbQItbrbw434xgkCDw0KtzWQSa9AsvcPRGXuftkAbb97eWy26w85J5YosbvzgyvTa/JsX3j7upv4gUA06yUIh0CB0xt4igVYPt3s/cgq0OO1sb324dFY7uKk7CFSDzrFQk2FOjM7ROx6dsbdKoI3X7r9ZPJp/9f3Z4iH80fXyAf6l9rH47avT6bOv1zO3v98+e9qx4sLE5SP4dmxw3PIbe9PpK+/Xt7t267vNT/uAzo16QaAadI6FQqBR6Iy9tQI9rJ8TvXBtlUAP6idMKym+2zx7eqkn0OL21zpHrMeGx22ffC2/UQj0e9UvqkN0Ad0b9YJANegUC7XkzxP/ceXo/SWgM/bWPYQvviqM9erHs6N3pxfeHr+IVNzgr+/MblWuO5xeeKv4/q35jZscNI/h+2P94z64Mn3tzuzovepA+4WDi4PuleLtAno3an5zmvz5ZBnZMUKILifc6EU0Aj26tVc/3q7dVz6POSrQ5gb7pev269PE6oyzK9B7e/W1o+pGvbHucetvVD/dr58r3R8CejeqgkAJ2cqEyLOM8mVM80ff5enomEDnN2jz+b/87Op0INDiRqXwmm/1xtrjHl1vrs9XAm8uO5W+7AL6N+qFh/AadIqHdCPbeVJ0it5fAjpjb5FAXykfjc9fd1RKbkyg/Rcm3b/aDPcF2lx9P2y1eHn5uPXzqu0Tn82p7EF1eroA9G/UCwLVoFMsFAINQ2fsrXoOtMxcg6sF2lFZKd8Lr/zgn4cP4RsL7tcq7I21x31wZaVAF8fp36gXBKpB51ioaH9m6R2PzthbK9ANzkDLN23emY08B1o/m/ngSn3k0TPQ/pnsijPQ8dfhV0GgGnSOhUKgUeiMvZUC3eg50NZv1VuP+gItj3rYXPlZ8Rxo97nUjkD7z4FOl16/1ASBatBJFirYn2l6h6Mz9lYK1HwVvnuyeDgdPravLv80j+BXXoWvudXTpR2BdgH9G/WCQDXoJAuFQIPQGXtLBVq/XvPzN4evAy1v1Hkd6O3yJZv1Q/ij96bLAi1u+5+uXGq/vDxy3OK09eL7s+a1n12BdgD9G/WCQDXoLAsV6888vaPRGXtLBTr2TqT6atHFO713IpV2PGxe/vTe4OLPrJ5opLfinUjNN6blB+V1BdoF9G7UCwLVoPMsVKA+U/WORWfsrRXoyHvhiy//tDcXaPet6s2X8ydMO9mfXzg//r3wb9U37gh05L3wby3dbQSqQWdaqDB9Jusdic7Ym0+kNwSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdc+sE+vDHLy7nW3900pIGgWrQGRcqAk1vAdw5t06gXzw3Wc5XfuOkJQ0C1aAzLlQEmt4CuHMOgRqCQDXojAsVgaa3AO6c4zlQQxCoBp1xoSLQ9BbAnXMI1BAEqkFnXKgINL0FcOccAjUEgWrQGRcqAk1vAdw5ZxfoZ798cjI59+RLHzlJiYNANeiMCxWBprcA7pwzC/Tm/BLS005U3iBQDTrjQkWg6S2AO+esAi39+cjXX3zhiV00KALVoDMuVASa3gK4c84o0E/OTx77dfXVp29Mzv3UCcsaBKpBZ1yoCDS9BXDnnFGgNyaPte8+evjG5HEnLGsQqAadcaEi0PQWwJ1zNoE+fKNz1vnJ+cd4K+dpBoEq4EI0vQVw55xNoF8813nzUe8XOxEEqkFnXKgINL0FcOccAjUEgWrQGRcqAk1vAdw5Z30IP3l5/ou7Ex7Cn2oQqAIuRNNbAHfOcRHJEASqQWdcqAg0vQVw55z9ZUyP/qr66vfP8zKmUw4CVcCFaHoL4M65TV5IP3nyySd38q1ICFSDzrhQEWh6C+DOOfNbOT8837yT89x3nKi8QaAadMaFikDTWwB3ztk/TOThb18ozkC//pMdu4BUBoFq0BkXKgJNbwHcOcfH2RmCQDXojAsVgaa3AO6cs16F/8avnYBtCALVoDMuVASa3gK4c876QvrO60B3LwhUg864UBFoegvgzjnHO5F2LwhUg864UBFoegvgzjnHh4nsXhCoBp1xoSLQ9BbAnXPG50Bvth8HupNBoBp0xoWKQNNbAHfOGQX62S+qD6Rv8q0deykTAtWgMy5UBJreArhzznwRqZtde0IUgWrQGRcqAk1vAdw5h0ANQaAadMaFikDTWwB3zvFCekMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnnPFlTD/uXDf65IV/y0Wk0wwCVcCFaHoL4M45/koPQxCoBp1xoSLQ9BbAnXMOgX5yHoGeahCoAi5E01sAd86tFejgAnwV/k6kUw0CVcCFaHoL4M659Wegd5cFumsfLIJANeiMCxWBprcA7pxbL9CH/9eLL75w/tz8bUgvfvtXTlbaIFANOuNCRaDpLYA75/g0JkMQqAadcaEi0PQWwJ1zjpcx7V4QqAadcaEi0PQWwJ1zvJDeEASqQWdcqAg0vQVw59wmAv1Dm4+csKxBoBp0xoWKQNNbAHfOWQX66Y/4MBFVEKgCLkTTWwB3zhkF2n81KAI91SBQBVyIprcA7pwzfyL95NFvv9PmH3fsihIC1aAzLlQEmt4CuHPO+nciTR53ArYhCFSDzrhQEWh6C+DOOevrQPlL5XR4BKqAC9H0FsCdc7yQ3hAEqkFnXKgINL0FcOccf62xIQhUg864UBFoegvgzjnzRaSnnYBtCALVoDMuVASa3gK4c84o0OIU9DtOwhYEgWrQGRcqAk1vAdw5Z30v/AuTyTn+XnhNEKgCLkTTWwB3zvHXGhuCQDXojAsVgaa3AO6cQ6CGIFANOuNCRaDpLYA75/g0JkMQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnHAI1BIFq0BkXKgJNbwHcOWcX6Ge/fHIyOffkS7v2YaAzBKpCZ1yoCDS9BXDnnFmgN+eXkHbvJfUIVIPOuFARaHoL4M45q0BLfz7y9RdfeGIXDYpANeiMCxWBprcA7pwzCvST85PHfl199ekbk517XzwC1aAzLlQEmt4CuHPOKNAbk8fadx/t4GeDIlANOuNCRaDpLYA75xyfxvTJ+cd4K+dpBoEq4EI0vQVw55zj80B378NBEagGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw55z570R6ef6LuxMewp9qEKgCLkTTWwB3znERyRAEqkFnXKgINL0FcOec/WVMj/6q+ur3z/MyplMOAlXAhWh6C+DOuU1eSD958sknd/KtSAhUg864UBFoegvgzjnzWzk/PN+8k3MH/24PBKpBZ5BnxzoAACAASURBVFyoCDS9BXDnnP3DRB7+9oXiDPTrP9mxC0hlEKgGnXGhItD0FsCdc3ycnSEIVIPOuFARaHoL4M45BGoIAtWgMy5UBJreArhzzibQz5oPAf3ka7v4CB6BitAZFyoCTW8B3DlnEeinz7cX3m/u5DUkBCpCZ1yoCDS9BXDnnEGg5fX35qXzv9jJVzEhUBE640JFoOktgDvn1gv0buHM5kX0s9nDnxe/ennpNlseBKpBZ1yoCDS9BXDn3FqBln8lfPec8+bu/bXwCFSEzrhQEWh6C+DOubUCLYTZ++yQh2/s3oN4BKpBZ1yoCDS9BXDn3DqBlr7sP2S/O+HTmE43CFQBF6LpLYA759YJtHgEP/jskE/O79xjeASqQWdcqAg0vQVw55xBoANdLn9n64NANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnDM+BLj+E5znQUw0CVcCFaHoL4M65tVfhbwwvut+c8In0pxsEqoAL0fQWwJ1zawU6vOjOy5hOPQhUARei6S2AO+c2fiH9DV5If9pBoAq4EE1vAdw5Z3sr51PtOeinP9rFN8MjUA0640JFoOktgDvnDB8mUv11SI/+3TvvvPPL58svd+0ZUASqQmdcqAg0vQVw55zl4+z+V/vXIVV/JdJfOkmJg0A16IwLFYGmtwDunDN9oHL1wL3W51MfOUGZg0A16IwLFYGmtwDunLP+lR6//79//OK339lFe84QqAqdcaEi0PQWwJ1z/J1IhiBQDTrjQkWg6S2AO+cQqCEIVIPOuFARaHoL4M45BGoIAtWgMy5UBJreArhzDoEagkA16IwLFYGmtwDunEOghiBQDTrjQq1K9SIWI3qbem+CztgbgRqCQDXojAs1nvnLqE3o7em9GTpj7xCB3tubznNt9uDKMx+svu3RP71mOWTnIA+uNIf+3g8/9ty7kweBatAZF2osk24M6G3pvSk6Y+9TF+jh9JLlkGMCnU4vvO65eycOAtWgMy7USCaTzQy6Lb03RmfsHSTQi3cWv4oXaPPlv75Z+lkQBKpBZ1yokSBQIzpj70wCnc0Opscd+ksLAtWgMy7UcibDrEVvR+/N0Rl7rxXoZ39YzvAdnaMCvf9m8cD+lffr792+Op0+Wzz+PrpePhK/VP24+OLV6seH08u39qbffLu42feLbz77wzurBFqMV6egnWPvT6/duzq98Dez2Z/2ps++NZv1j71Aj3O6Nzic1jUOho5HoBp0xoVaDgK1ojP2NvylcssZfqLymECb50UvVMI7qJ/CvLwQ6GHnx4fTvyp+VRzi3eapzkurBNq4rXvs/ekPql9d3q++9fasf+wFepzTvUEDai3d+U2aIVAFOuNCLWVkf9aht6K3A52x95cl0AdXpq/dmR29N21k+td3Zreqrw9bBb768ezo3cp4h9P61O9weqE8g7xVfnOFQCtS79iFN1+7U3xdXmC6f708eO/YffQyp3eD/cqcC95X2/z5BBn5/SOEnIGcZK+brP1bOX/3TpVfTCbnvvX377zzt09Mzr30j4O/lbNzFb7yWyGg9mHwQXlq1/yi8lMt0PbH+9XZaH3iWPyiPE+szwBXCnR47P1KisU9qM8xi1/0jt1HL3NG7tviWVoESsgW5xQE2qQ4EW3/Io8Pl/9OpGWBHl2vXVWdMvYeE1d6mn+nMl773GOZz//lZ1enxwu0d+zGhg+u1A/epx1a7xdz2IDTu0FN2l+61M9DeA0640O6pYzs7Tr0VvR2oDP2Ngr0RucvQrq59Jd6LD+Er5/rrPLMB43d6hzWz3A236mUNRfb/atjLyZdFmjn2MsC7R17gB7jdG5QuXPkRQQIVIPOuFBLQaBmdMbeNoE+fOPcT+e/+OT8Y0sP4YcC7bz4vfxFR0mHvUtEjUAvNYeZTi+88oN/PuYhfG3IvkDr5y07Au0cexm9mtPcYuR1VghUg864UMvZ1J/b0ntzdMbeNoF+8VznYXvvF1XGBNo5sVt/BlopqzizvHRndvxzoOUzlssnjeYz0DFO92APrly8s/wIHoGK0BkXajkI1IrO2Nsq0N4Z6HqB9p5aXP8c6KV6rnZZcYa5SqDVj/ovM1oS6HHPgS5zBq9Z2r/wD9eXX6uPQDXojAs1kg39uTW9N0Zn7G1+DvTx0a/rjLyM6aB5vrF7XfygvuQ+chW+J7bD8kWZ4wJ9tzpq79hLAh29Cn+witO7Qf1S0eV3SiFQDTrjQo0EgRrRGXsbBXp3MnmqfuLz4c8nk5cHPx1/HejF92ezW3ul3+rXWt7eq18q1Lzs6NWPZ5+/2bwOtPPQunxJ57hAj/71+/XrkHrHXhZo79h99DKnd4P6g0suL/8mzRCoAp1xocaymT+3p/em6Iy9re+Fv1H80X/txRdffKL451PDH3Y/jam9itO8HWhafXjdweKdP/fqNwP134lUn/QdNkd4r3qic/TTmJoH551jLwt09J1Il1Zwejeo5Np9TrT9TZohUAU640KNZwN9blXvzdAZe1sFWp54Nnl66YdjAm3er16/Ob3zhvTyLeul5Xrvhb/Uu1XvWnrv80Db89zOsUcEuvq98Muc/n1bPD3Q/02aIVAFOuNCrYpZn1vWexN0xt72T2P67Jfl2ecjL2333w1/MPIIHoGK0BkXKgJNbwHcOcdf6dHL/F1OvSBQDTrjQkWg6S2AO+c2EujD7T77nJUfMDL2aaUIVIPOuFARaHoL4M45u0B/+x/Kj2H64t+/9MeVN8me/enYJSQEqkJnXKgINL0FcOfcZheRCoE+N3l0+FkiW5P3VvylSwhUg864UBFoegvgzrkNXsb06P9x/iu/efjfJpPhW+G3PghUg864UBFoegvgzjn7C+m/07wJ/sPzSy+k3/YgUA0640JFoOktgDvnNvk4u+ZTRJY/zm7bg0A16IwLFYGmtwDunNvk4+wagS5/mMi2B4Fq0BkXKgJNbwHcObfJx9k1Al3+OLttDwLVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pyzPoQvLxw15ry7c5fhEagGnXGhItD0FsCdc8aLSNWFo1qghUy5iHSqQaAKuBBNbwHcOWcU6CfnJ0/9sRLop89POp9OvxtBoBp0xoWKQNNbAHfOWV9If3MymTx5/tzXnxj9PLstDwLVoDMuVASa3gK4c878Xvj/dX7154FuexCoBp1xoSLQ9BbAnXObfB7ok+XngX7j105S4iBQDTrjQkWg6S2AO+f4PFBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw59xagX72h+Vs/ecqD4JANeiMCxWBprcA7pxbJ9Avnpssh3cinWoQqAIuRNNbAHfOIVBDEKgGnXGhItD0FsCdc+sE+vB371T5xWRy7lt//847f/vE5NxL/8hbOU8zCFQBF6LpLYA754wXkYoT0fblnx/u3AkoAhWhMy5UBJreArhzbpMPVG7CByqfchCoAi5E01sAd85t8oHKTT45z6cxnWoQqAIuRNNbAHfObfJ5oGO/2IkgUA0640JFoOktgDvnrALtnYEi0FMNAlXAhWh6C+DOOfNzoI+Pfr0bQaAadMaFikDTWwB3ztn/WuOn6ic+H/58wl9rfLpBoAq4EE1vAdw5Z30v/I3JZPK1F198sfw80KecrLRBoBp0xoWKQNNbAHfOWQVannjyeaCaIFAFXIimtwDunNvk80DLs89HXtq1TxKZIVAVOuNCRaDpLYA75/g4O0MQqAadcaEi0PQWwJ1zCNQQBKpBZ1yoCDS9BXDnnFGgn/F5oDo8AlXAhWh6C+DOOesL6fk4Ox0egSrgQjS9BXDnHAI1BIFq0BkXKgJNbwHcOWf8MJHmU0Hfeedvn5+c+3s+D/RUg0AVcCGa3gK4c27zi0i792FMCFSEzrhQEWh6C+DOOcdV+Js791J6BKpBZ1yoCDS9BXDnnEOgu3cKikA16IwLFYGmtwDunHMIlM8DPeUgUAVciKa3AO6cc52BItBTDQJVwIVoegvgzrnNBfrwxoSH8KcaBKqAC9H0FsCdc8aXMf34xTYvnN+9z2NCoBp0xoWKQNNbAHfOeV5Iv2snoAhUhM64UBFoegvgzrnNBfrIS7vmTwQqQmdcqAg0vQVw5xyfxmQIAtWgMy5UBJreArhzDoEagkA16IwLFYGmtwDunEOghiBQDTrjQkWg6S2AO+fWCbRz/X2Rb+3Ys6AIVIPOuFARaHoL4M65dQIdfJAdH2cnCAJVwIVoegvgzjkEaggC1aAzLlQEmt4CuHOO50ANQaAadMaFikDTWwB3ziFQQxCoBp1xoSLQ9BbAnXMI1BAEqkFnXKgINL0FcOfcpgL9g5OTOghUg864UBFoegvgzjmzQB/+8mu/qa4pfePXTlTeIFANOuNCRaDpLYA756wCvXu+uvZeXpQ/97KTlTYIVIPOuFARaHoL4M45o0A/Od98CNPvfnR+cu6nTljWIFANOuNCRaDpLYA754wCvTF5tH3k/vCNyeNOWNYgUA0640JFoOktgDvnrB9n1znr5K/0OOUgUAVciKa3AO6cswq040z+UrlTDgJVwIVoegvgzjnOQA1BoBp0xoWKQNNbAHfOmZ8DfXz0690IAtWgMy5UBJreArhzzijQu5PJNz6qvvrs55PJrr2OCYFq0BkXKgJNbwHcOWd9HeiNyWRy7sknnzxf/HPXTkARqAidcaEi0PQWwJ1zVoE+/EX7WXbn/tKJyhsEqkFnXKgINL0FcOec/b3wD3/7QnEG+vW/27FPoy+DQDXojAsVgaa3AO6c49OYDEGgGnTGhYpA01sAd84hUEMQqAadcaEi0PQWwJ1zmwj0D20+csKyBoFq0BkXKgJNbwHcOWcV6Kc/4u9EUgWBKuBCNL0FcOecUaD9v1sOgZ5qEKgCLkTTWwB3zhkFenMyefTb77T5xx27Eo9ANeiMCxWBprcA7pyzCXQHP8KuGwSqQWdcqAg0vQVw55zjw0R2LwhUg864UBFoegvgzjnHx9ntXhCoBp1xoSLQ9BbAnXPWh/CcgerwCFQBF6LpLYA758wXkZ52ArYhCFSDzrhQEWh6C+DOOaNAi1PQ7zgJWxAEqkFnXKgINL0FcOec8SH8j1+YTM59/cUm3+JlTKcZBKqAC9H0FsCdc9aLSBNeSC8LAlXAhWh6C+DOOQRqCALVoDMuVASa3gK4c45PYzIEgWrQGRcqAk1vAdw5h0ANQaAadMaFikDTWwB3ziFQQxCoBp1xoSLQ9BbAnXMI1BAEqkFnXKgINL0FcOfcWoF+9ofl8IHKpxoEqoAL0fQWwJ1z6wQ6uP7OVXhBEKgCLkTTWwB3ziFQQxCoBp1xoSLQ9BbAnXPrBPrwd+8shw9UPtUgUAVciKa3AO6c4yKSIQhUg864UBFoegvgzjkEaggC1aAzLlQEmt4CuHMOgRqCQDXojAsVgaa3AO6cQ6CGIFANOuNCRaDpLYA75xCoIQhUg864UBFoegvgzjkEaggC1aAzLlQEmt4CuHMOgRqCQDXojAsVgaa3AO6cQ6CGIFANOuNCRaDpLYA75xCoIQhUg864UBFoegvgzjkEaggC1aAzLlQEmt4CuHMOgRqCQDXojAsVgaa3AO6cQ6CGIFANOuNCRaDpLYA75xCoIQhUg864UBFoegvgzjkEaggC1aAzLlQEmt4CuHMOgRqCQDXojAsVgaa3AO6cQ6CGIFANOuNCRaDpLYA75xCoIQhUg864UBFoegvgzjkEaggC1aAzLlQEmt4CuHMOgRqCQDXojAsVgaa3AO6cQ6CGIFANOuNCRaDpLYA75xCoIQhUg864UBFoegvgzjkEaggC1aAzLlQEmt4CuHMOgRqCQDXojAsVgaa3AO6cQ6CGIFANOuNCRaDpLYA75xCoIQhUg864UBFoegvgzjkEaggC1aAzLlQEmt4CuHMOgRqCQDXojAsVgaa3AO6cQ6CGIFANOuNCRaDpLYA75xCoIQhUg864UBFoegvgzjkEaggC1aAzLlQEmt4CuHMOgRqCQDXojAsVgaa3AO6cQ6CGIFANOuNCRaDpLYA75xCoIQhUg864UBFoegvgzjkEaggC1aAzLlQEmt4CuHMOgRqCQDXojAsVgaa3AO6cQ6CGIFANOuNCRaDpLYA75xCoIQhUg864UBFoegvgzjkEaggC1aAzLlQEmt4CuHMOgRqCQDXojAsVgaa3AO6cQ6CGIFANOuNCRaDpLYA75xCoIQhUg864UBFoegvgzjkEaggC1aAzLlQEmt4CuHMOgRqCQDXojAsVgaa3AO6cQ6CGIFANOuNCRaDpLYA75xCoIQhUg864UBFoegvgzjkEaggC1aAzLlQEmt4CuHMOgRqCQDXojAsVgaa3AO6cQ6CGIFANOuNCRaDpLYA75xCoIQhUg864UBFoegvgzjkEaggC1aAzLlQEmt4CuHMOgRqCQDXojAsVgaa3AO6cQ6CGIFANOuNCRaDpLYA75xCoIQhUg864UBFoegvgzjkEaggC1aAzLlQvkzKbo9P3dqIz9kaghiBQDTrjQnUyabMpOnlvNzpj7yCB/uube9PphVffr35xML3c+2H56wdXnvlg/o2jf/rudDp95a3jjzk8TDn32vhNewdceavVqUf2l4BNEKgGnXGh5pl0sxk6de8ToDP2DhHo0fVpk8pA6wR6b6+59Tc/mB2TZYEeTi+N3rJ/wFW3Oib1CAIdCQvly2TiNmjq3idBZ+wdIdAHV6bPvn5nNvv83ekqBXUFWuj2YnmqevvqpqZbocbBARFoZFgoXxDo5uiMvSMEuj+9eKf+6mD6zIqTyo5AD9ubP7hy4e2NQCvUODggAo0MC+XKZJhN0Il7nwidsXeAQO/tdU8uL9ePvVsZHRRqGjyEP5gLrrnR/TeLR9/N86flaWRxPlvfrvlp8QD9lffbJwoutbpcHKZ3wOZWhRMv39qbfvPtzgHKn1+79d2WdVScMH/z/YPFSDF9r6C/emfpN2mGQBXojAvVBIE60Bl7Bwi0e+L2eSmf0nzNaWDhpmtDgR4OTlMP62cwL1ybVbPz51Jrgd6b/7TxXHOk6sgjB1wI9K+KycK19zqH359+r/pFefv6hhf+S1egf1Xd9uLQoAhUg864UHWW/LnJn2Hi3idDZ+x9coF2TNakI8zq7HQg0AdXphd++PH81oXgXv24PB0sH34Xv/jrO7NbleEqgRY3fu3O7Oi96jvtI+1rs9kxBzxsngmtRdg7wH7hyeLwe+URDqYX3prdv1rJuj1w+Vxq/dPmN6fJn0+WkXUihJyVnGC3Ty7Q5WcyK/PVmqseXQ+vwpfWKh5U/4+Pm1vXD8D365temrWOPKifDri0OOZh5yJR95nO/gHbn9d3q3eA5tna8py58X5h7I5A5z9FoITsTM6iQCsn1ZZafh3o7cp41bON8xPY8rnN3tnsQaW55uD39gq51Z6rD7XfPe/tHnAu0MqG/QPs1zYtpVr9utVlK9D5T/vhIbwGnfEhXZ2RJd0Anbf3ydAZe0c8hB8VaKW5+vrSkkDL/Gv52vfie3P/lrfoybgWaPsK0/K2h4vz06XjzQ84FGj3APvtC1Uvzc9gD7oCnf+0HwSqQWdcqDoI1IPO2PvLeg609mrtolGBFrl/pfuDWqCdW9VjIwI97Phv+YD9h/j9AyDQjcNCuXICf6bufSJ0xt4BV+G7wjksr9gctBfRG7f2Bdo5yyzPEo8/A+0/PzCX4sU7nUfwgwMOBdo9QE+g7auhEOhxYaFcQaAOdMbesa8Dba8E1a8/uvj/1j/pC7T3+qPO054rngPtnt62Z437F/7h+oI5OGBfoP0DdBQ5+hwoAl0KC+WL35+5e58EnbF37DuRblWXvmuBFo/hf9ZelRm8kL79snvhvfeL+cX74v/qY3fUOKte49mR3OCA/av0vQN0FNmY9cEVBHpsWChfEOjm6Iy9I98LX76jaPEK+Oo18c2L45deB9rcvHnp56sfzz5/s/M60Nt785cxFTcu3+devzizfdhdPrF5ucfvHrC+VSvQ3gG6ijwobzx/HWg5gkBHwkI54/Zn8t4nQGfsHfJpTPXrMIefxlTIsJbm+OtA528+Gnsn0qX5YZqfTl+rj1iZrjh77F357x+wvtX8KlP3AF1FLt6J1I4g0JGwUO749Jm/txudsXfQ54He/v7y54EWhlpc6B68DvT7hbuebd89ZHkvfP1Rn3/aq89BDwZvt+wfsLrV4jJ95wA9Rdbvha+/VY0g0JGwUCeIR5/b0NuJztg75yfSL39UqDv7wxdhjQSBatAZFyoCTW8B3DmXUqDLr93fPM1rB0wfqYdANeiMCxWBprcA7pxLKdBbm3/i51IeXCk/V+Rof/mzl5aDQDXojAsVgaa3AO6cSyjQ/en05CegpYXr606GQyFQDTrjQkWg6S2AO+cSCvS96YXXI45TXnhqr3sdHwSqQWdcqAg0vQVw51xCgZ5+EKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCxYnJjgAAFvlJREFUTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqAg0vQVw5xwCNQSBatAZFyoCTW8B3DmHQA1BoBp0xoWKQNNbAHfOIVBDEKgGnXGhItD0FsCdcwjUEASqQWdcqLWZlDkevZW9DeiMvRGoIQhUg864UGsyaXMcegt7m9AZe58Fgd7be+aD+KMe/dNrw2/tT6/Nvz6YXp49uFKAyy/GbtwJAtWgMy7UsZl0sxq9db2N6Iy9t1egh9NLw2+tFujIjTtBoBp0xoU6LpOJyaBb19uKzth7ZwVaphLoqht3gkA16IwLdVwQ6PHojL0R6Kobd4JANeiMC3VMJsOsQm9ZbzM6Y++zI9DCbre+O52++n71vdtXp9NnX69/fv/Nafv94kb3rk4v/M1s9qe96bNvLb7zwzv12PeLmz5b/OLoevFFZcX5t6rb3v5uc9vuQ/jmxofTi9VRDoY2RaAadMaFOiYIdA06Y++zJNDvlRqbVieFB9WX5bOTxdnhXvX1hfLscX/6g+pXl/erb729+E7lvHfrseIXc4EuvlXe9r/Ovx4RaHNCWvyqf6KKQEXojAu1Okv+XPXnumW97eiMvc+SQKeX7sxu7ZX2urc3/evi60qmxdevfjw7erfR5fS1O0fvFe58fXb/emnC4jsX32/GDqcXypPSW9VN60flvW91bzt2Eal+iL94YP/VNn/+kjOyW4QQQTZc3bMk0Iv1w+zL8wfR+7Xp6gfU+7UuyxsVTi3PTauH3PvtKWv1dXXKWp9Ctk7sfKt72zGBdv+/DAIlZMey4eqeJYFW3jqoH3/PH0TPvz5cKPLBlfJ8svudxWnj5//ys6vThUB73+redkyg9UGGl5p4CK9CZ3xItzojy7oCvV297eiMvc+SQCu7lQJtBFll/nVltzGBVro7ul5+6/7V5hnPhUC73+redvR1oOUNFo/g50GgGnTGhVodBLoOnbH3GRXowmHzrxuB1s9Sjgu0eGg/vfDKD/658xC+9621Ai3/MfKKJgSqQWdcqGNi9OfW9TajM/Y+owJdfQZ6jECLR/uX7sx6z4H2v7VWoA+uXLyz/AgegYrQGRfqmCDQNeiMvc+kQI97DnRZoJfbY7SufXBlLtD+tzq3XfFWzv0L/3B9+VX9CFSDzrhQx8Xmz+3rbUVn7H0mBdpeee9+3V6FXxboxTuz/onr4XTuxP63OrddIdDD6V/tLb8nCYFq0BkX6rgg0OPRGXufTYHWrwO93b4m9NWPZ5+/2bySc1mg85eP1o/Xy1eJ1k68eGfwrea207HXgdZvQirOVOu70QsC1aAzLtSxMflzC3sb0Rl7n02Btu9Eqq/s9N6JtCzQ/zp/09JhPXXxvUbCxc9732pv+9psKND6xtUTBounX+dBoBp0xoVak/X63M7eJnTG3mdUoMe8F362dBGpOP1sbtpM1eeTf9or/9H9Vn3bC6/XnK5Amxs3L7IfBoFq0BkXam3W6XNbexvQGXufBYGeKCMXzU+Sg5FH8AhUhM64UBFoegvgzjkE2kv9evxhEKgGnXGhItD0FsCdcwi0l1ujnwuKQDXojAsVgaa3AO6cQ6C9Y41dQkKgKnTGhYpA01sAd84h0E7eay4wDYNANeiMCxWBprcA7pxLL9DTCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghCFSDzrhQEWh6C+DOOQRqCALVoDMuVASa3gK4cw6BGoJANeiMCxWBprcA7pxDoIYgUA0640JFoOktgDvnEKghXyWEkNH0XYFAR6L+IyKEnNX0XYFAz16Gf0a7EnrvVraiNwI9e9mKf7EcofduZSt6I9Czl634F8sReu9WtqI3Aj172Yp/sRyh925lK3oj0LOXrfgXyxF671a2ojcCPXvZin+xHKH3bmUreiPQs5et+BfLEXrvVraiNwIlhBBnECghhDiDQAkhxBkESgghziBQQghxBoESQogzCJQQQpxBoIQQ4gwCPRs5enNvOn31/TXf2r6Ml3xw5ZLk3pxeRnrf/v50emEH/7xvXy16//CO6h6dMAj0TOTBlWmZZz449lvblxUl96dbLtCR3u9W35leeFt3r778jPQ+qHt/M+m/5wj0TGR/evH92f3r04t3jvvW9mW05NH+dNsFutz7cHrh9Vn5ra3+L+Zy73t7Ve+rWf/EEehZyL29am0eXFmcf4x8a/syWrJ8SJd1nYxZ7n10fXptVn2r/ud2ZuTPe396ufOTfEGgZyEHjTAO6n+bVnxr+zJWsnhI99qtLRfocu8HVxqB7O/an3edef9sQaBnIfvNacfhQhwj39q+jJU8+OZb2116duwf7lYLdHXve3tJn6pCoGcgR9ebhzSLf41GvrV9WVlyywV6zB/uVj9ls7r3rb2sz1wg0DMQBIpAmxxsc/NVvfen0wtvae7SiYNAz0A6/2K1zwSNfGv7srLk7gh08Id7uNUvY1rR++i/f29veuFvRHfqhEGgZyCcgXIGWuVw70LSR7KmHPMv9e2sj+ER6BkIAkWgZQ62+vzz+H+pD5O+4BmBnoVwFb5fcqtLz1b1fnfL/Xnsv9RZTxQQ6FlI+7q43utAl761fVlVctsFOtb7aD/t2xnNWe7dvoEAgZIThHci9Utuu0DHeu8nfQy7SUbfiXSp989sQaBnIcV/h785eI/wyLe2L6tKbrtAR3ofbPUfdJOR3vf2pq/dmR2lffoCgZ6J3O98Ss29verfpfu78GlMI73LbLtAl3s3H1M03fKPARj58z5sPoUq50V4BHpGcv/N4l+iV6v/Lrci6XxrezPSe7YDAl3qfTjdCYGO/nue+nNQESghhDiDQAkhxBkESgghziBQQghxBoESQogzCJQQQpxBoIQQ4gwCJYQQZxAoIYQ4g0AJIcQZBEoIIc4gUEIIcQaBEkKIMwiUDHNj0s1XflN+7+Evzxdf/nT+zxNm+TC//9ETBeyRb/96fOCL5yZP2+77Y3886Z3z5eEbk1NnL/6kzn3tJxtOjt1X3e9e2iBQMsyYQG80X95YfOu4fPhvj1/E4WFK+zR5anRyrUAbYquAVXdg3R3z55PiPwnnTvxfluUcd497f1IbuQ+BBgWBkmFGBFrY4d/8sfPPtUc4fhGHh+n4c4UI1gm0JTb/XHUHvkRD3Jw8+vzk8fDDHnuP+39Sm1RDoEFBoGSYkTW6O5m83P3n5kcYPVybm8XJ23c+Kr74rHxoP0awCnTNHfjyDFH8N+Dxm4Zz802zRqDtDx/+YmL7oyGxQaBkmFGB1o9O79oepa4XaO8whXy+0j73WZycjs2eeYEW9/tl439eNopRoNV/hOLPf8m6IFAyzKkLtLDjYvdvjJ7GnXmBlne7uJPhhzcLdMV/eciXGwRKhlna2ZvNld4Xmn+W8vv0R+VFk2/ML5pXv64vBTc37wmve/ObncNUKR/+Du7DQpj14+Ly1w9/Pke0R1wiVvd9/svBUbp3bHD/u0dbdb/rO/HLJyaTR14aqqr+b8DNeamq0m+fL2bLi2K//Q/FweuDjBzjmLvS3uPCjk93OG26f1K1vQvuyyX2keGf0fy/S8Utitu1k/3e8+NZaxMESoaxCPTm/KJ57ybVL0cE2v743F/ORgRafucv+sgRgX7jue61kg/bO/DobzwCHdz/3tFW3e/ycP/u+dHbNc/qzj1XaurfNJd4vvKbn3cKLx/juLvS3uP5uW35TMH4n1Txk8cr7os1dHDn508v1PexmRz0bo9nrk0QKBmmd223/9C9/efN+oTqs583a1/8+rFfzx7+vNHmUMHFjx/91Wz2++fn16L6zwR8Ubrx63//Ue87Q4FWr3AqEeUpWPmA9df1tZPHu8T+VfjhUbqG6N7/4dFW3O/yTpz7yz/OPn1jMnxCoT7Bq8/uylSvK2ju7yOTb3xUHbv82dIx1tyVeaH2N777BMfgOdCna25xy09/Mrzz81PX+iy5nlwBs9cmCJQMs16g9dlOmXod2xOk8mpQ11NN5udP7c+XnkptX8f05EsfzUeWBPp0hzgXyY0+0SbQ4f0fHm3F/S7vxMvNr/v/hWj1dLM9z3vYyqacebxz7OEx1t2V5h43J5CDJzsWv8+//1H9R1VyXx698zfmf0TlP+tfjcPstQkCJUtZL9DFeVC90fPHh83PBwJdPDXYPMYduRb1++rJuPJR4vypwna4WeIGOXy2sb3Pmwh0eP+HR1txvxcXiYZXutpbznXY/qdice44+G9Ne4x1d2XRpDnxfrn3w24e73GHd37x376XZwuBjsHstQkCJUtZexW+ex7UPOnYX6yla+LtjxsPjF/Mf/i7Hz/ReapwKNDH50crDn63vMbxq2WiSaBL9394tBX3e3EnBoXnp2Zzfy1O1uYHudsKtHuMtXdlUayv2+aHnTzVOcEcv/MvD38jxmHm2gSBkuWsFegXz3UXt3qDZ3+i/+vOI7/my9WvhiqfjmuvutffuTn4dbPf9YWZR9qH/BsJdOn+D4+24n4vHa7NJ+c7x3u6GXi8e3e7v3fdY6y9K22x6iR/+HKFhUAfaa6Yz2+x/Jt+oyvD5rBjMHttgkDJcr4EgfbPso59OenN9prHUKAvz7rfqF8aVD7k/0mX6BTo4Ggr7vdKk9zsHq99qtEp0BXFKvMNHsGP/El1Bbr0m14cvv2dbydHYPbaBIGS5VgE+vixExuegfaeWqvXde0ZaJnfVw/5O8/p2QU68qadztFW3O9VJulbsKq2gUCPvyvz38ryi7vHP1UyO/YM9IvnCv7g92kMxhnoJkGgZBjLc6BDYS5epf348hHWPQd6s6ut+YWLp7vDPYF2Dt6+OmidQHuXmVdeTW6PtuJ+rzLJ3c7Le+7OL+aYBLr2rszbluM31vyHa5Tbedj+9Jw++E9cD2atTWYIlCxn/Vs551eWGwF0X6X98vIRFoJsVDMQaDE1fy98+bxe92WLi5fSNIes1rnzMPNG90U6ywLtXxQfvKqyuf9LR1txv1eZ5EanTvNyAatA196VG53ef/Hc4L32xwl06Te9+OdjH7a04YP1Lsxam8wQKFnOeoEu3nd9t9Vd91rx8AhrXwdaXgyprgY/LN+G2DtJvDu/qNRs9Y3m5ZLNEXqvaxwKdHiU9vvD+z882or7vcIk/bfA1/8BMAt03V1Z/FbemDxyfuCv4wS69JtefOcr/3Fxr3ovWOrBjLVJGQRKhum/urB3yth5J1J52WH+kPdu/51I5WI+7FzR7ry15enuYdr0nkScE8ojVp9c374T6S/+OPv0R/Uhil+f+05B/rR54XhLnL/Qs/7l4Cjd73fv//BoK+73CpPc7b1B5+6kf3K3RqDr7srit7I48PD50uMEuvSbXv/BvtydHMKW34l0TG1SBoGSYQwCXVx3bja4+174etd7y95/c/XqdyKV14N/2vvOY79oBfrvnusiFq8cerpLXLxxZ9K8Nbx7lMUdG9z/wdFW3O9xkxSMbpv6l3aBrrkri9/KxUl450/qGIEOf9MX5+Gz7ql4F7byvfAIdFUQKBnGItDiVLC8drv4+KLOpzEV+bD4xePd3a4/3uep5qx05GVMn/74yUnvr/apP//nO52r8PWnMf1q/vNy4JH2kA2xVUB7B/pH6dyxwf0fHG38fo+bZPg5ctWb0jcQ6Jq7svitXH4f0PECHfymj16J68MGn8Z0bG1SBYESkiM3+cTksxcESkiKlB/1qb4PZBgESkiKfDK8Bk/OQBAoIRny6Rt8GOcZDAIl5OynvC7OCegZDAIl5OznbvtBqeRsBYESQogzCJQQQpxBoIQQ4gwCJYQQZxAoIYQ4g0AJIcQZBEoIIc4gUEIIcQaBEkKIMwiUEEKcQaCEEOIMAiWEEGcQKCGEOINACSHEmf8fIUya6ZpbdBMAAAAASUVORK5CYII=" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; plotb$Label &lt;- seq(1, 5, 1)
## 
## &gt; plotb$Label &lt;- factor(plotb$Label, labels = c(&quot;Incompatability&quot;, 
## +     &quot;Civil Society Strength&quot;, &quot;Electoral Democracy&quot;, &quot;Political Violence&quot;, 
## +    .... [TRUNCATED] 
## 
## &gt; fig12 &lt;- ggplot(plotb, aes(y = Point, x = Label)) + 
## +     coord_flip() + geom_point(size = 3, position = position_dodge(width = 0.5)) + 
## +     geom .... [TRUNCATED] 
## 
## &gt; fig12</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig12.pdf&quot;, width = 6, height = 4)
## 
## &gt; print(fig12)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; bma_dat &lt;- na.omit(data[, c(&quot;Amn&quot;, &quot;log_frag2&quot;, &quot;bin&quot;, 
## +     &quot;Inc&quot;, &quot;v2x_cspart&quot;, &quot;v2x_polyarchy&quot;, &quot;v2x_clphy&quot;, &quot;v2x_rule&quot;)])
## 
## &gt; colnames(bma_dat) &lt;- c(&quot;Amnesty Provision&quot;, &quot;Average Substitutes&quot;, 
## +     &quot;Any Substitutes&quot;, &quot;Incompatibility&quot;, &quot;Civil Society Strength&quot;, 
## +     &quot;El ...&quot; ... [TRUNCATED] 
## 
## &gt; bma_datc &lt;- bma_dat[, (names(bma_dat) != &quot;Any Substitutes&quot;)]
## 
## &gt; set.seed(1015)
## 
## &gt; bas &lt;- bas.glm(`Amnesty Provision` ~ ., data = bma_datc, 
## +     family = binomial(link = &quot;logit&quot;), betaprior = g.prior(3))
## 
## &gt; plot(coef(bas), subset = 2, ask = F)</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig13.pdf&quot;, width = 6, height = 3)
## 
## &gt; print(plot(coef(bas), subset = 2, ask = F))</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## NULL
## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; bas_datb &lt;- bma_dat[, (names(bma_dat) != &quot;Average Substitutes&quot;)]
## 
## &gt; set.seed(1015)
## 
## &gt; bas2 &lt;- bas.glm(`Amnesty Provision` ~ ., data = bas_datb, 
## +     family = binomial(link = &quot;logit&quot;), betaprior = g.prior(3))
## 
## &gt; plot(coef(bas2), subset = 2, ask = F)</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig14.pdf&quot;, width = 6, height = 3)
## 
## &gt; print(plot(coef(bas2), subset = 2, ask = F))</code></pre>
<p><img 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lxQi7l80WYcrR66lHuAtmQxFy/eiONVRGcEKGWJN+J4FdEZAUpRIk44Yk10I8MAvX7zx+Xl5S9vWr6PyIKlXLqIE45YE93ILUBfP22ckvT4Rdtft5RLF3LCIYuiC3kF6Puvts7qfPBjuyuwkgsXc8Axq6IDWQXo1eJNQB9dLH26eHPlVp/oYSWXLuiAg5bFveUUoB++nAXmD40LXs0Ctd1b0lvIZYs636h1cV85BejLyXZcziP1izZXYSGXLep8o9bFfWUUoNff7X4E51XLT5WzkMsWdr5hC+N+MgrQfa9791p4GuKON25l3IsApRyBxxu4NO4howCdHcKfbZ+15BCetcjTjVwb6TIK0OmznbScPyz6sM1VWMYlizzdyLWRLqcAfXc+S9BfGxe8n+Xnzk7pUZZxyUJPN3RxpMopQOfnMc0S8+L7y7mfl2fStzqLySouWezhxq6ORFkF6PT3862Xcp590+4KrOKCBR9u8PJIkleATq+fNyP07Enbd2SyiMsVfbbR6yNFZgE6c/368vnFxcWTyxcJ72dnEZcr+myj10eK/AL0XizicoWfbfgCaU+AUob4o41fIa0JUMqQwWgzKJGWBChFyGGyOdRIOwKUIuQw2RxqpB0BShGymGwWRdKGAKUEeQw2jyppQYBSgkwGm0mZnEyAUoBc5ppLnZxKgFKAXOaaS52cSoBSgGzmmk2hnEaAkr98xppPpZxEgJK/jMaaUamcQICSvZymmlOt3E2Akr2cpppTrdxNgJK9rKaaVbHcRYCSu7yGmle13EGAkrvMhppZuRwlQMlcbjPNrV6OEaBkLreZ5lYvxwhQMpfdTLMrmMMEKHnLb6T5VcxBApS85TfS/CrmIAFK3jIcaYYlc4AAJWs5TjTHmtlPgJK1HCeaY83sJ0DJWpYTzbJo9hGg5CzPgeZZNXsIUHKW6UAzLZsdApSM5TrPXOtmmwAlY7nOM9e62SZAyVi288y2cDYJUPKV7zjzrZwNApR8ZTzOjEunQYCSr4zHmXHpNAhQspXzNHOunTUBSraynmbWxbMiQMlW1tPMunhWBCi5ynuYeVfPDQFKrjIfZublsyBAyVTus8y9fuYEKJnKfZa518+cACVP+Y8y/y1AgJKp/EeZ/xYgQMlTCZMsYRtqJ0DJUgmTLGEbaidAyVERg5wUsRV1E6DkqIxBlrEVVROg5KiQQRayGRUToGSolDmWsh31EqBkqJg5FrMhtRKg5KecMZazJZUSoOSnoDEWtClVEqDkp6AxFrQpVRKgZKekKZa0LTUSoGSnqCkWtTH1EaBkp6gpFrUx9RGg5KasIZa1NdURoOSmsCEWtjmVEaDkprAhFrY5lRGgZKa4GRa3QTURoGSmuBkWt0E1EaBkprgZFrdBNRGg5KXAERa4SdUQoOSlwBEWuEnVEKDkpcARFrhJ1RCgZKXICRa5UXUQoGSlyAkWuVF1EKDkpMwBlrlVVRCg5KTQARa6WRUQoOSk0AEWulkVEKBkpNj5FbthpROgZKTY+RW7YaUToGSk2PkVu2GlE6Dko+DxFbxpRcs2QP/64/LF29a/ZZlmreDxFbxpRcssQF9//dFvs/9dPz+fzD34oeXvW6ZZK3h8BW9a0bIK0Ounk8k8QK+/m6x83m4v1DLNWdHTK3rjypVTgC5ycxagi/+fXVxczHdDH7a6Cqs0Z0VPr+iNK1dOAXo1y8v/eLv8/xfzC67/exakP7a5Cqs0Z0VPr+iNK1dOAfrsJjefrfc7n7XcBbVKM1b48ArfvEJlFKAfvlzubq7+P/fufPJJm0dBLdKMFT68wjevUHkF6OIp+NX/p1tfn8IizVjhwyt88wqVYYBefydAa1T87IrfwBJlFKDzJ9+/nX/xbH0IfzVxCF+L4mdX/AaWKKMAnb6cLHc3352vnjmaZ+oXba7CGs1X8bMrfgNLlFOAzo7XJw9+nS6SdHka009OY6pGBaOrYBOLk1OATq/mZ85/9v2bN/89S9InPz89n7TcAbVE81XB6CrYxOJkFaDzg/ct7fLTEs1XDaOrYRsLk1eA3r6LyA1vJlKNKiZXxUaWJbMAnfnr54uvH8189o/vvZ1dPaqYXBUbWZb8AvRerNBMVTK4SjazIAKUHFQyuEo2syAClBxUMrhKNrMgApQMVDO3aja0FJkH6PHXwm+f8zQ3YHF0ppq5VbOhpRCgZKCauVWzoaUoOkB3WZ9ZqmhsFW1qETIP0Olfb/5s8+OWZ5YqGltFm1qE3AO0JcszSzWNraZtLYAAJbyqplbVxuZPgBJeVVOramPzl2GAXr/54/Ly8pc37V8Jb3Xmqa6p1bW1ucstQF8/bZyS9PhF21+3ODNU2dAq29zM5RWg77/aOqvzQav3o7c4s1TZ0Crb3MxlFaCLd6SfPLpY+nT+j7NvW12DxZmh2oZW2/ZmLacAnX8m0lnzLZRfzQK11Xn01maGqptZdRucs5wCdPWpnGvzSPWpnIWrbmbVbXDOMgrQ28+Fb/C58OWrb2b1bXG+MgrQfa9791r44lU4sgo3OVsClNgqHFmFm5ytjAJ0dgh/tn3WkkP44tU4shq3OVMZBej02U5azh8WfdjmKqzM3FQ5sSo3Ok85Bei781mC/tq44P0sP3d2So+yMnNT5cSq3Og85RSg8/OYZol58f3l3M/LM+lbncVkZWanzonVudU5yipAp7+fb72U8+ybdldgYWam0oFVutkZyitAp9fPmxF69qTtOzJZmJmpdWC1bnd2MgvQmevXl88vLi6eXL5IeD876zIztQ6s1u3OTn4Bei/WZV6qnVe1G54bAUpg9c6r3i3PiwAlrorHVfGmZ0WAElfF46p407MiQImr5nHVvO0ZEaCEVfW0qt74fAhQwqp6WlVvfD4EKGHVPa26tz4XApSoKh9W5ZufCQFKVJUPq/LNz4QAJarah1X79mdBgBJU9bOqvgE5EKAEVf2sqm9ADgQoQZmVDsQnQInJqLQgAwKUmIxKDzIgQInJqPQgAwKUkExqqgkZEKCEZFJzuhCdACUkk5rThegEKBEZ1II2RCdAiciglvQhOAFKRAa1pA/BCVACMqcbGhGcACUgc1rRidgEKAGZ04pOxCZAiceY1vQiNAFKPMa0phehCVDiMaY1vQhNgBKOKTXpRmQClHBMqUk3IhOgRGNIG7QjMgFKNIa0ST8CE6AEY0ZbNCQwAUowZrRloiNxCVBiMaIdWhKXACUWI9qlJ2EJUEIxoT00JSwBSigmtI+uRCVACcWE9tGVqAQokRjQfvoSlAAlEgPaT1+CEqBEYkD76UtQApRAzOcQnYlJgBKI+RyiMzEJUAIxn0N0JiYBShzGc5jehCRAicN4DtObkAQoYZjOMboTkQAlDNM5RnciEqCEYTrH6E5EApQoDOc4/QlIgBKF4RynPwEJUKIwnOP0JyABShBmcxcdikeAEoTZ3EWH4hGgBGE2d9GheAQoMRjN3fQoHAFKDEZzNz0KR4ASg9GcQJOiEaCEYDKn0KVoBCghmMwpdCkaAUoIJnMSbQpGgBKBwZxGn4IRoERgMCfSqFgEKAGYy6l0KhYBSgDmciqdikWAEoC5nEyrQhGgjM9YTqdXoQhQxmcsp9OrUAQo4zOWFjQrEgHK6EylDd2KRIAyOlNpQ7ciEaCMzlRa0a5ABChjM5R29CuQfAP0+o/LX962/SVrLyBDaUnD4sg3QD98Ofnot7a/ZOnFYyZt6VgcApSRmUlbOhZHTgH615um17MAfTH7/59trsLSi8dMWtOyMDIK0Nku5z6tdkOtvHCMpD09C0OAMi4jSaBpUWQUoNPfzyeTs4uVv59Pzv42+/8/2jwVb+GFYyQJNC2KnAJ0+v67yeTBrzf/8CRSEUwkha5FkVWATqf/nu12/nP5pQAtgokk0bYgMgvQ6fuvJpNPFjuhArQIJpJE24LILUCn1/89mZx9MxWgZTCQRBoXQ3YBOp2+m+2EPn4rQItgIIk0LoYMA3R6/dNsJ/QHAVoA80ilczHkGKDLE5r+di5As2ceybQuhDwDdHFC00SAZs88kmldCJkG6OKEJgGaO+NIp3chZBug0/f/avcipAWrLhTjuAfNiyDfAE1i0YViHPegeREIUEZjGvehexEIUEZjGveifQFkHqDHTwbd9+53AxbHHUzjXrQvAAHKWAzjnjRwfEUH6C5LLhDDuCcNHF/mATr9y2ci5cos7ksHx5d7gLZkycVhFvemhaMToIzELO5NC0cnQBmHUXRAE8eWYYBev/nj8vLylzetX8c5teACMYoOaOLYcgvQ108bpyQ9ftH21y24KEyiC7o4trwCdP6JSBse/NjuCiy4KEyiE9o4sqwC9Op8HpqPbj4Y/tP5P86+bXUN1lsUJtEJbRxZTgH64cv5R3k0LnjV+j1BrbcgDKIjGjmunAL05WQ7LueR+kWbq7DcgjCIjmjkuDIK0OvvJpPtA/aryeSTNs/GW24xmENXdHJcGQXovte9ey18nsyhM1o5KgHKCMyhM1o5qowCdHYIf7Z91pJD+CwZQ4c0c0wZBej02U5azh8WfdjmKiy2EIyhQ5o5ppwC9N35LEF/bVww/3T4nZ3Soyy2EIyhQ5o5ppwCdH4e0ywxL76/nPt5eSZ9q7OYLLYQTKFT2jmirAJ0+vv51ks5z75pdwXWWgSm0CntHFFeATq9ft6M0LMnbd+RyVqLwBS6pZ/jySxAZ65fXz6/uLh4cvki4f3sLLUADKFjGjqe/AL0Xiy1AAyhYxo6HgHKwMygc1o6GgHKwMygc1o6GgHKwMyge3o6FgHKsIygB5o6FgHKsIygD7o6EgHKoEygF9o6EgHKoEygH/o6DgHKoEygH/o6DgHKkAygJxo7DgHKkAygLzo7CgHKgPS/N1o7CgHKgPS/P3o7BgHKgPS/P3o7BgHKcLS/RxPdHYEAZTja3yfdHYEAZTC63y/9HZ4AZTC63y/9HZ4AZSia3zcdHpwAZSia3zcdHpwAZSB63z89HpoAZRjOshmAHg9NgDIMrR+CLg9MgDIInR+ENg9MgDIInR+GPg9LgDIEjR+IRg9LgDIEjR+KTg9KgDIEjR+KTg9KgDIAfR+MVg9KgDIAfR+OXg9JgNI/bR+QZg9JgNI/bR+Sbg9IgNI/bR+Sbg9IgNI7XR+Wfg9HgNI7XR+Wfg9HgNI3TR+ajg9GgNI3TR+ajg9GgNIzPR+clg9GgNIzPR+eng9FgNIvLR+Bpg9FgNIvLR+Drg9EgNIvLR+Drg9EgNIrHR+Hvg9DgNIrHR+Hvg9DgNInDR+Lzg9CgNInDR+Lzg9CgNInDR+N1g9BgNIj/R6P3g9BgNIj/R6R5g9AgNIf7R6T7g9AgNIf7R6T7g9AgNIb3R6X/vdPgNIb3R6X/vdPgNIXzR6bCfROgNIXzR6bCfROgNITvR6fGfRNgNITvR6fGfRNgNIPrY7AFHomQOmHVkdgCj0ToPRDq0Mwhn4JUHqh0zGYQ78EKL3Q6SAMolcClD5odBQm0SsBSh80Ogyj6JMApQf6HIdZ9EmA0gN9DsQweiRA6Z42R2IaPRKgdE+bQzGO/ghQOqfLsZhHfwQondPlYAykNwKUrmlyNCbSGwFK1zQ5HCPpiwClY3ocj5n0RYDSMT0OyFB6IkDplhZHNDGWfghQuqXFIRlLPwQondLhoAymF5kF6PXzrx/97b/e3v77w5eTj35r8ftWUd90OCiD6UVeAfrv88nc2ZNVhArQYDQ4LKPpQ1YB+nKy8slNggrQYDQ4LKPpQ04B+m62//nghzdvfpr/fxmbAjQW/Q3McHqQU4C+XO15vv9qlaACNBb9DcxwepBRgF5/N5l8u/5ykaUCNBTtDc14updRgDbDcp6gD6cCNBjtDc14updpgM7/MflCgMaiu8EZUOdyDdD5M0pnPwrQUHQ3OC/o7FxGAdp4DHTuajL56FcBGojmhmdEXcsoQOfPwj/c/OdH/1eAxqG58ZlRx3IK0Pl5oI//XP/72eKcegEahN5mwJA6llOALl6J1MzLnwRoHB5fy4IpdSurAJ3+fr6Zl7N/C9AgtDYLxtStvAJ0ev3qH283/v3TuQANQWczYVCdyixA78vq6YvOZsJDLZ0SoHRBY7MhQbskQOmCxuZDgnZIgNIBfc2JaXUn8wA9/kqkyR4DFlcRfc2KcXVGgHJ/2poX8+pM0QG6y8rphbZmxsC6knmATv968+fdP7Rm4fRBV3PjUKwruQdoS9ZND9wb82NkHRGg3JP8zJGhdUOAck96miN/9rqRYYBev/nj8vLylzdv7/7RHVZN57Q0T+bWidwC9PXTxilJj1+0/XWrpmv2ZHJlcPF1TYIAABA1SURBVF3IK0DnHwi/4cGP7a7AoumajubKn74uZBWgV+fz0Hx0sfTp/B9n3979aw3WTMc0NF9m14GcAnT+UcZnPzQueNX2/ZStmY7Zi8mZ4d1fTgE6/xS5zbi8+XT401ky3dLPnPnzd38ZBejWxxovXE0mn7R5Nt6K6ZR25s387i2jAN33unevhR+TPZjcGeB9CVCS6Wbu/Am8r4wCdHYIf7Z91pJD+BFpZv7M8J4yCtDps520nD8s+rDNVVgvHdLMAhji/eQUoO/OZwn6a+OC97P83NkpPcpy6Y5elsBB/P3kFKDz85hmiXnx/eXcz8sz6VudxeRO3yG9LIIx3ktWATr9/XzrpZxn37S7AqulM1pZCIO8j7wCdHr9vBmhZ0/aviOTxdIVh36lMMn7yCxAZ65fXz6/uLh4cvki4f3srJWu6GQxjPIe8gvQe7FWOqKRBTHMdAKUBA77SmKa6QQoCfSxKMaZTIDSnjYWxkBTCVBac8hXGhNNJUBpTReLY6SJBChtaWKBDDWNAKUlh3slMtU0ApSW9LBIxppEgNKOFhbKYFMIUFpxqFcqk00hQGlFB4slQRMIUNrQwIJJ0PYEKC24ixXNdFsToJxOfhbOfNsSoJxMfpbOhNsSoJxM94onQVsSoJxK8yogQdsRoJzIXasKptyKAOVEelcHc25DgHIarauEI402BCgncbeqhlG3IEA5hTtVRQz7dAKUE7hLVcW0TyZAOYG+1cW8TyVAuZu2VcYRx6kEKHdyd6qOkZ9IgHIXd6YKGfppBCh3cFeqkrGfRIBynDtSpQz+FAKUo9yNqjUx+7sJUI7SsXpJ0LsJUI7RsKoZ/10EKEfYBamc+d9BgHKY/KydFXAHAcohHgJDgt5BgHKA/GQqQe8gQNnPHYcFC+EYAcpe7jbcsBSOEKDs407DLYvhMAHKHu4yNFgOBwlQdrnDsMGCOESAssPdhS1OyThAgLLNfYUdEnQ/AcoW9xT2sS72EaBscj9hPytjDwHKBvcSDrE2dglQmtxHOMzq2CFAaXAP4RjrY5sAZc39g+M8Gb9FgHLLnYO7SNBNApQb7hqcwjJpEqAsyU9OY6U0CFAW3Ck4lQRdE6DMuUvQguWyIkCZukPQkp3QGwIU9wZas2aWBCjuCySwauYEaPXcEUjiD+9UgFbPvYBU1o4ArZ37APdg9QjQqrkDcC/V/wEWoBWrfvVzb5NJ3atIgFar8pVPR+qOUAFak8ZCr3rV062K15IArUgjNCte8vSg2uUkQCuyDtBq1zs9qfUvsgCtx+rBKkfvdK/SVSVA6zFpGLsWylPlwhKg9ZCe9KvC1SVA6yE+6Vt1K0yA1kN+0r/KFpkArYXjd4ZR1TIToHXw9BHDqWihCdAaLBe0AGUo1Sy1DAP0+s0fl5eXv7x5m/C7dQx1y2oxC1CGU8kBT24B+vpp42TGxy/a/nr5A92x8fKjClY0UVQRoXkF6PuvJpse/NjuCkof547mEq5hPRNL8UsuqwC9Op+P49HF0qfzf5x92+oayh7mlu09AAHK8ArfD80pQD98OQvMHxoXvJoF6ke/tbmKcge5Y3fhlr2SiaroCM0pQF9OtuNyHqlftLmKUse4Zf+SLXkdE1uxJ9FlFKDX300m2wfsV5PJJ22ejS9wgrsOrdVClzBZKDRCMwrQ2e7mzvH6vsuOKW5+246t0iIXMDkpL0QFaDHW5yYc/YFBa4JNdy3S3GQUoLND+LPts5Ycwq+csC6LWrjkq6QQzShAp8920nL+sOjDNldRxMx2nLgci1m05K+UEM0pQN+dzxL018YF72f5ubNTelT289qyPmw/YcOKWLCUo9XqDSqnAJ2fxzRLzIvvL+d+Xp5J3+ospqICtPXyy3ypUqLcQzSrAJ3+fj7ZdPZNuyvIdEpbEhddxsuUsuUbo3kF6PT6eTNCz560fUem7OazZeOvR9ov91EW3NvWvlEmCzWzAJ25fn35/OLi4snli4T3s8tlLFu6WVs5rUsqtb3Uoy/Y/AL0XqKPY8PuWrpf+TmsR1jqePH3RYDGsi80u1o6cVchHNLnPaIDAnRcB5ZHL4sk1sqDdo7eV8Za2QK059trq/dierwBGEj7O1ZPiz/zAD3+Wvh7tTBxROOP9I4tGvAGYTjj3DEFaIvf7W8Mg4hXEQyph3tu0QG6q+78EKDQrcwDdPrXmz/b/Hjl+SE/oVO5B2hLAgTojgAFSCRAARJlGKDXb/64vLz85U3CS+EFKNCh3AL09dPGmQaPX7T9dQEKdCevAH3/1dbJWg9avR+9AAW6lFWAXi3eDPTRxdLiDenPtj8p/jgBCnQnpwD98OUsMH9oXPBqFqitzqMXoECHcgrQl5PtuJxHaqsPRRKgQHcyCtD5ZxhvH7D7XHhgPBkF6L7XvXstPDAeAQqQKKMAnR3Cn22fteQQHhhPRgE6fbaTlvOHRR+2uQoBCnQnpwB9dz5L0F8bF7yf5efOTulRAhToTk4BOj+PaZaYF99fzv28PJO+1VlMAhToUFYBOv39fOulnGfftLsCAQp0J68AnV4/b0bo2ZO278gkQIHuZBagM9evL59fXFw8uXyR8H52AhToTn4Bei9tPpYP4C6dZ1TXV9ilsZsNlKXzjOr6CrMT93GCuJUFLi1uZYFLi1tZ5NIWgpc3gLgTiltZ4NLiVha4tLiVRS5tIXh5A4g7obiVBS4tbmWBS4tbWeTSFoKXN4C4E4pbWeDS4lYWuLS4lUUubSF4eQOIO6G4lQUuLW5lgUuLW1nk0haClzeAuBOKW1ng0uJWFri0uJVFLm0heHkDiDuhuJUFLi1uZYFLi1tZ5NIWgpc3gLgTiltZ4NLiVha4tLiVRS5tIXh5A4g7obiVBS4tbmWBS4tbWeTSFoKXN4C4E4pbWeDS4lYWuLS4lUUubSF4eQOIO6G4lQUuLW5lgUuLW1nk0haClzeAuBOKW1ng0uJWFri0uJVFLm0heHkDiDuhuJUFLi1uZYFLi1tZ5NIWgpc3gLgTiltZ4NLiVha4tLiVRS5tIXh5A4g7obiVBS4tbmWBS4tbWeTSFoKXN4C4E4pbWeDS4lYWuLS4lUUubSF4eQOIO6G4lQUuLW5lgUuLW1nk0haClzeAuBOKW1ng0uJWFri0uJVFLm0heHkDiDuhuJUFLi1uZYFLi1tZ5NIWgpcHEJcABUgkQAESCVCARAIUIJEABUgkQAESCVCARAIUIJEABUgkQAESCVCARAIUIJEABUgkQAESCVCARAIUIJEABUgkQAESCVCARAIUIJEABUgkQAESCVCARAIUIJEABUgkQAESVRqg75+eTyZnj3/d+cb1d5Nb3wap6ei3BhGxXWsfvvzotz0Xj920ub2ljd206+ePZrf8ccSVdri0sZt2SJ0B+vv5chJn/9z+zocvx5rT4ZqOfWsQEdu1Nrtr7QvQsZs2t7+0kZu2asxk8vnB743UtCOlRVhp+1QZoFeHZ9H41rBzOq2mUZZOxHatXT+b7EupsZs2d3dpI9TWvPWHh783RtNOLE2Ajmz+x+zB7CDh9VeTnfX9cqTxHKnpWLkjlzZau9YWh3a7bRm7aXMHShu3aYvGvJguO3P24+73xmvasdICrLT9agzQ2Sw+eTv/Yr7Cv9j83rOR7m5HajpW7siljdauW68WB327RYzdtOnh0sZt2tXtzt28M5v7eSM37Vhp46+0AyoM0Nl0Vn/e3p3frJjG9zYvGL+mY+WOXNpo7Vp5P9tVmTz+ave+NXbTjpQ2ctOerffkoq20I6WNvtIOqjBAZ0cKq1k0lszt97YffBm7pmPljlzaaO1ame0ynX2z75masZt2pLTRm3ar0aTtf4/UtH2l3F4Qo2nbKgzQq8bhwbOtR1Zm3/v2/dezfYfPfohS07FyhxCxXSsvzz5/u/ep7rGbdqS00Zt2azulxm/arZ0ADdO0bXUG6O3jO9sPTb+cnP395qm+x0MeMRyp6Vi5Q4jYrpW/5jd6IEBHbdqR0kZv2q2rrQcax29as5Tth2eDNG1bhQHaXBtXWw+WP2ucLDHkYy5HajpW7hAitmvDvpQau2k39gZoiKZNF3t5m4fpQZo23VNamKbtEKDNdTJ/9u/sydv5CzImg66gPAN0tHZtyCxAYzRteZLqzpPwEZq2r7QoTdslQJvTaPzlm/3UgOdN5Bmgo7VrQ2YBGqNp+07yD9K0faUFadoeAvTAOpn/zRvuUaA8A7Rh2HZt33ROAbr57RGbdvRc9XGbduwUgBGbtk8lAXr7StrZZE5cJy+HXELZB+iw7dqQb4CO17T3e17rE6Rpe0trGm+l7VNhgJ74ZOOgSyjTZ+EP/NiwYj4Lv3BXgI7VtPmbdjzYd37V+E3bX1rTuM9vbaszQE853W3oAM3xPNDNH4sVoBFOaQwaoLN0nHy++1R2hKYdKK1JgI7sxBdcDPo3ONNXIjWMt58X85VIq9u+6xB+hKb9dOCJ7ABNO1RaU6y3FakwQI+85Lfx8MruqWgj1TT2K5QjtmvDgXOFRn4t/KqMfQ/Pjtu0l4ceYxy/aQdLG71pB1UYoEfedGa2bm4W/O6paGPVNPZ75IRsV9OBl/uM/m5M0/2ljd202RHwRwfecH7sph0ubeymHVZjgK7ed3D3bQ8XZ1B883b/OxKOVNOxb41c2njt2qriwPuBjti0pYMn0o/XtGM7cCM37UhpMVbaPjUG6O4bb9+O7t35+lvD/gk+XNPY7xMesl0NzZSK07TDpY3btJeTpkVFUZp2rLQQK22fKgN0+u+tj35ZL6F3X002vxWgpp1vDS1iu9b2B+joTZvbX9qYTWt+NttugI7atOOlRVhp+9QZoNsfPthYQtev5m+a9fGTPwPVNPZnJYZs160DATp606YHSxuxac3PZtsToGM27Y7SAqy0fSoNUID7E6AAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAiQQoQCIBCpBIgAIkEqAAif4/0kXMYnJ+4IQAAAAASUVORK5CYII=" width="672" /></p>
<pre><code>## NULL
## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; rm(list = setdiff(ls(), c(&quot;cluster_bootstrap&quot;, &quot;int_plot&quot;)))</code></pre>
<pre class="r"><code>beep(4)

#Matching Analysis ####
#Produces the following
#Figure 5 and Rosenbaum Bounds
#Tables 5 and 6 - Balance Statistics
#Figures 8 and 9 - QQ Plots
#Figure 10 - Stochastic Simulation of Full Propensity Match
source(&quot;Provision Matching Analysis.R&quot;, echo=T)</code></pre>
<pre><code>## 
## &gt; load(&quot;Amnesty Provision Main Data.Rdata&quot;)
## 
## &gt; labs &lt;- c(&quot;Incompatibility&quot;, &quot;Civil Society Strength&quot;, 
## +     &quot;Electoral Democracy&quot;, &quot;Political Violence&quot;, &quot;Rule of Law&quot;)
## 
## &gt; match &lt;- na.omit(data[, c(&quot;Amn&quot;, &quot;bin&quot;, &quot;Inc&quot;, &quot;v2x_cspart&quot;, 
## +     &quot;v2x_polyarchy&quot;, &quot;v2x_clphy&quot;, &quot;v2x_rule&quot;)])
## 
## &gt; treat_formula &lt;- as.formula(&quot;bin~Inc+v2x_cspart+v2x_polyarchy+v2x_clphy+v2x_rule&quot;)
## 
## &gt; set.seed(1015)
## 
## &gt; m.out &lt;- matchit(treat_formula, data = match, method = &quot;genetic&quot;, 
## +     replace = F, pop.size = 1000)
## 
## 
## Thu Jul 22 14:20:47 2021
## Domains:
##  0.000000e+00   &lt;=  X1   &lt;=    1.000000e+03 
##  0.000000e+00   &lt;=  X2   &lt;=    1.000000e+03 
##  0.000000e+00   &lt;=  X3   &lt;=    1.000000e+03 
##  0.000000e+00   &lt;=  X4   &lt;=    1.000000e+03 
##  0.000000e+00   &lt;=  X5   &lt;=    1.000000e+03 
##  0.000000e+00   &lt;=  X6   &lt;=    1.000000e+03 
## 
## Data Type: Floating Point
## Operators (code number, name, population) 
##  (1) Cloning...........................  122
##  (2) Uniform Mutation..................  125
##  (3) Boundary Mutation.................  125
##  (4) Non-Uniform Mutation..............  125
##  (5) Polytope Crossover................  125
##  (6) Simple Crossover..................  126
##  (7) Whole Non-Uniform Mutation........  125
##  (8) Heuristic Crossover...............  126
##  (9) Local-Minimum Crossover...........  0
## 
## SOFT Maximum Number of Generations: 100
## Maximum Nonchanging Generations: 4
## Population size       : 1000
## Convergence Tolerance: 1.000000e-03
## 
## Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
## Not Checking Gradients before Stopping.
## Using Out of Bounds Individuals.
## 
## Maximization Problem.
## GENERATION: 0 (initializing the population)
## Lexical Fit..... 9.340742e-02  1.523213e-01  1.523213e-01  1.714572e-01  2.378289e-01  2.699118e-01  4.351609e-01  5.038383e-01  6.544887e-01  9.808420e-01  1.000000e+00  1.000000e+00  
## #unique......... 1000, #Total UniqueCount: 1000
## var 1:
## best............ 8.415151e+02
## mean............ 4.927125e+02
## variance........ 8.391856e+04
## var 2:
## best............ 1.174804e+02
## mean............ 4.957961e+02
## variance........ 8.500493e+04
## var 3:
## best............ 6.504424e+02
## mean............ 4.955405e+02
## variance........ 8.460574e+04
## var 4:
## best............ 2.585363e+01
## mean............ 5.016442e+02
## variance........ 8.601314e+04
## var 5:
## best............ 4.560301e+02
## mean............ 5.057282e+02
## variance........ 8.619549e+04
## var 6:
## best............ 5.679592e+02
## mean............ 4.972092e+02
## variance........ 8.416345e+04
## 
## GENERATION: 1
## Lexical Fit..... 1.087241e-01  1.523213e-01  1.523213e-01  1.733529e-01  2.378289e-01  2.378289e-01  3.548939e-01  3.554055e-01  5.651405e-01  5.651405e-01  6.189752e-01  8.605522e-01  
## #unique......... 754, #Total UniqueCount: 1754
## var 1:
## best............ 8.415151e+02
## mean............ 5.947951e+02
## variance........ 8.817453e+04
## var 2:
## best............ 1.174804e+02
## mean............ 2.662507e+02
## variance........ 6.243998e+04
## var 3:
## best............ 3.446341e+02
## mean............ 5.761596e+02
## variance........ 4.953241e+04
## var 4:
## best............ 2.585363e+01
## mean............ 2.356435e+02
## variance........ 6.190677e+04
## var 5:
## best............ 7.797843e+02
## mean............ 4.917269e+02
## variance........ 3.708150e+04
## var 6:
## best............ 5.679592e+02
## mean............ 5.719355e+02
## variance........ 3.664371e+04
## 
## GENERATION: 2
## Lexical Fit..... 1.523213e-01  1.523213e-01  1.523213e-01  1.629674e-01  1.750314e-01  3.173944e-01  3.173944e-01  3.548939e-01  5.859718e-01  6.743770e-01  8.622161e-01  8.780025e-01  
## #unique......... 737, #Total UniqueCount: 2491
## var 1:
## best............ 8.415151e+02
## mean............ 7.668648e+02
## variance........ 3.325455e+04
## var 2:
## best............ 9.099333e+01
## mean............ 1.923888e+02
## variance........ 2.783961e+04
## var 3:
## best............ 4.186333e+02
## mean............ 5.281315e+02
## variance........ 5.218955e+04
## var 4:
## best............ 2.585363e+01
## mean............ 6.722427e+01
## variance........ 1.576921e+04
## var 5:
## best............ 7.797843e+02
## mean............ 5.505833e+02
## variance........ 5.748052e+04
## var 6:
## best............ 5.158125e+02
## mean............ 5.677888e+02
## variance........ 7.658033e+03
## 
## GENERATION: 3
## Lexical Fit..... 1.523213e-01  1.523213e-01  1.523213e-01  1.810674e-01  2.009490e-01  3.173944e-01  3.173944e-01  3.548939e-01  5.846145e-01  6.743770e-01  8.614167e-01  8.786914e-01  
## #unique......... 696, #Total UniqueCount: 3187
## var 1:
## best............ 8.415151e+02
## mean............ 8.142031e+02
## variance........ 1.038138e+04
## var 2:
## best............ 9.099333e+01
## mean............ 1.407803e+02
## variance........ 1.471910e+04
## var 3:
## best............ 4.186333e+02
## mean............ 4.430194e+02
## variance........ 2.295220e+04
## var 4:
## best............ 4.320759e+00
## mean............ 5.112068e+01
## variance........ 1.336673e+04
## var 5:
## best............ 7.797843e+02
## mean............ 6.963991e+02
## variance........ 3.160318e+04
## var 6:
## best............ 5.158125e+02
## mean............ 5.420938e+02
## variance........ 6.818340e+03
## 
## GENERATION: 4
## Lexical Fit..... 1.523213e-01  1.523213e-01  1.523213e-01  1.810674e-01  2.009490e-01  3.173944e-01  3.173944e-01  3.548939e-01  5.846145e-01  6.743770e-01  8.614167e-01  8.786914e-01  
## #unique......... 668, #Total UniqueCount: 3855
## var 1:
## best............ 8.415151e+02
## mean............ 8.262802e+02
## variance........ 7.034601e+03
## var 2:
## best............ 9.099333e+01
## mean............ 1.218080e+02
## variance........ 1.132142e+04
## var 3:
## best............ 4.186333e+02
## mean............ 4.073666e+02
## variance........ 8.339546e+03
## var 4:
## best............ 4.320759e+00
## mean............ 3.781753e+01
## variance........ 1.198545e+04
## var 5:
## best............ 7.797843e+02
## mean............ 7.627801e+02
## variance........ 8.117909e+03
## var 6:
## best............ 5.158125e+02
## mean............ 5.237635e+02
## variance........ 4.662863e+03
## 
## GENERATION: 5
## Lexical Fit..... 1.523213e-01  1.523213e-01  1.523213e-01  1.810674e-01  2.009490e-01  3.173944e-01  3.173944e-01  3.548939e-01  5.846145e-01  6.743770e-01  8.614167e-01  8.786914e-01  
## #unique......... 671, #Total UniqueCount: 4526
## var 1:
## best............ 8.415151e+02
## mean............ 8.218568e+02
## variance........ 8.091837e+03
## var 2:
## best............ 9.099333e+01
## mean............ 1.190502e+02
## variance........ 1.290250e+04
## var 3:
## best............ 4.186333e+02
## mean............ 4.220600e+02
## variance........ 7.095018e+03
## var 4:
## best............ 4.320759e+00
## mean............ 3.476495e+01
## variance........ 1.193242e+04
## var 5:
## best............ 7.797843e+02
## mean............ 7.650819e+02
## variance........ 7.622640e+03
## var 6:
## best............ 5.158125e+02
## mean............ 5.112888e+02
## variance........ 4.824396e+03
## 
## GENERATION: 6
## Lexical Fit..... 1.523213e-01  1.523213e-01  1.523213e-01  1.810674e-01  2.009490e-01  3.173944e-01  3.173944e-01  3.548939e-01  5.846145e-01  6.743770e-01  8.614167e-01  8.786914e-01  
## #unique......... 674, #Total UniqueCount: 5200
## var 1:
## best............ 8.415151e+02
## mean............ 8.185067e+02
## variance........ 1.023082e+04
## var 2:
## best............ 9.099333e+01
## mean............ 1.161201e+02
## variance........ 1.055850e+04
## var 3:
## best............ 4.186333e+02
## mean............ 4.208318e+02
## variance........ 6.119271e+03
## var 4:
## best............ 4.320759e+00
## mean............ 3.134154e+01
## variance........ 9.910173e+03
## var 5:
## best............ 7.797843e+02
## mean............ 7.626721e+02
## variance........ 8.022651e+03
## var 6:
## best............ 5.158125e+02
## mean............ 5.144833e+02
## variance........ 5.787839e+03
## 
## GENERATION: 7
## Lexical Fit..... 1.523213e-01  1.523213e-01  1.523213e-01  1.810674e-01  2.009490e-01  3.173944e-01  3.173944e-01  3.548939e-01  5.846145e-01  6.743770e-01  8.614167e-01  8.786914e-01  
## #unique......... 658, #Total UniqueCount: 5858
## var 1:
## best............ 8.415151e+02
## mean............ 8.223113e+02
## variance........ 8.760584e+03
## var 2:
## best............ 9.099333e+01
## mean............ 1.149560e+02
## variance........ 8.103413e+03
## var 3:
## best............ 4.186333e+02
## mean............ 4.217703e+02
## variance........ 5.278770e+03
## var 4:
## best............ 4.320759e+00
## mean............ 3.968708e+01
## variance........ 1.498022e+04
## var 5:
## best............ 7.797843e+02
## mean............ 7.628973e+02
## variance........ 6.873327e+03
## var 6:
## best............ 5.158125e+02
## mean............ 5.089468e+02
## variance........ 5.125943e+03
## 
## GENERATION: 8
## Lexical Fit..... 1.523213e-01  1.523213e-01  1.523213e-01  1.810674e-01  2.009490e-01  3.173944e-01  3.173944e-01  3.548939e-01  5.846145e-01  6.743770e-01  8.614167e-01  8.786914e-01  
## #unique......... 635, #Total UniqueCount: 6493
## var 1:
## best............ 8.415151e+02
## mean............ 8.250262e+02
## variance........ 6.018293e+03
## var 2:
## best............ 9.099333e+01
## mean............ 1.160252e+02
## variance........ 9.829255e+03
## var 3:
## best............ 4.186333e+02
## mean............ 4.202425e+02
## variance........ 4.907061e+03
## var 4:
## best............ 4.320759e+00
## mean............ 3.620397e+01
## variance........ 1.332223e+04
## var 5:
## best............ 7.797843e+02
## mean............ 7.635909e+02
## variance........ 6.988315e+03
## var 6:
## best............ 5.158125e+02
## mean............ 5.182047e+02
## variance........ 3.621046e+03
## 
## &#39;wait.generations&#39; limit reached.
## No significant improvement in 4 generations.
## 
## Solution Lexical Fitness Value:
## 1.523213e-01  1.523213e-01  1.523213e-01  1.810674e-01  2.009490e-01  3.173944e-01  3.173944e-01  3.548939e-01  5.846145e-01  6.743770e-01  8.614167e-01  8.786914e-01  
## 
## Parameters at the Solution:
## 
##  X[ 1] : 8.415151e+02
##  X[ 2] : 9.099333e+01
##  X[ 3] : 4.186333e+02
##  X[ 4] : 4.320759e+00
##  X[ 5] : 7.797843e+02
##  X[ 6] : 5.158125e+02
## 
## Solution Found Generation 3
## Number of Generations Run 8
## 
## Thu Jul 22 14:21:05 2021
## Total run time : 0 hours 0 minutes and 18 seconds
## 
## &gt; balance &lt;- data.frame(summary(m.out)[5])
## 
## &gt; balance &lt;- balance[2:6, &quot;reduction.Mean.Diff.&quot;]
## 
## &gt; balance &lt;- cbind.data.frame(labs, balance)
## 
## &gt; balance[, 2] &lt;- round(balance[, 2], 2)
## 
## &gt; colnames(balance) &lt;- c(&quot;Variable&quot;, &quot;/% Improvement in Difference in Means&quot;)
## 
## &gt; balance
##                 Variable /% Improvement in Difference in Means
## 1        Incompatibility                                 70.37
## 2 Civil Society Strength                                 89.75
## 3    Electoral Democracy                                 55.63
## 4     Political Violence                                 98.81
## 5            Rule of Law                                 80.34
## 
## &gt; balance &lt;- print(xtable(balance, digits = 3, align = c(&quot;l&quot;, 
## +     &quot;l&quot;, &quot;c&quot;)), include.rownames = F)
## % latex table generated in R 4.0.2 by xtable 1.8-4 package
## % Thu Jul 22 14:21:05 2021
## \begin{table}[ht]
## \centering
## \begin{tabular}{lc}
##   \hline
## Variable &amp; /\% Improvement in Difference in Means \\ 
##   \hline
## Incompatibility &amp; 70.370 \\ 
##   Civil Society Strength &amp; 89.750 \\ 
##   Electoral Democracy &amp; 55.630 \\ 
##   Political Violence &amp; 98.810 \\ 
##   Rule of Law &amp; 80.340 \\ 
##    \hline
## \end{tabular}
## \end{table}
## 
## &gt; write(balance, file = &quot;Table 5.tex&quot;)
## 
## &gt; colnames(m.out$X) &lt;- labs
## 
## &gt; plot(m.out, type = &quot;QQ&quot;, interactive = F)</code></pre>
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" width="672" /></p>
<pre><code>## 
## &gt; pdf(&quot;Fig8.pdf&quot;)
## 
## &gt; print(plot(m.out, type = &quot;QQ&quot;, interactive = F))</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## $ask
## [1] FALSE
## 
## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; set.seed(1015)
## 
## &gt; mdat &lt;- match.data(m.out)
## 
## &gt; zelig &lt;- zelig(Amn ~ bin + Inc + v2x_cspart + v2x_polyarchy + 
## +     v2x_clphy + v2x_rule, data = mdat, model = &quot;relogit&quot;)
## How to cite this model in Zelig:
##   Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau. 2021.
##   relogit: Rare Events Logistic Regression for Dichotomous Dependent Variables
##   in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
##   &quot;Zelig: Everyone&#39;s Statistical Software,&quot; https://zeligproject.org/
## 
## &gt; sim.no &lt;- setx(zelig, bin = 0, Inc = 1, v2x_cspart = mean(mdat$v2x_cspart), 
## +     v2x_polyarchy = mean(mdat$v2x_polyarchy), v2x_clphy = mean(mdat$v .... [TRUNCATED] 
## 
## &gt; sim.bin &lt;- setx(zelig, bin = 1, Inc = 1, v2x_cspart = mean(mdat$v2x_cspart), 
## +     v2x_polyarchy = mean(mdat$v2x_polyarchy), v2x_clphy = mean(mdat$ .... [TRUNCATED] 
## 
## &gt; sim.out &lt;- sim(zelig, x = sim.no, x1 = sim.bin)
## 
## &gt; ev.no &lt;- sim.out$get_qi(qi = &quot;ev&quot;, xvalue = &quot;x&quot;)
## 
## &gt; ev.bin &lt;- sim.out$get_qi(qi = &quot;ev&quot;, xvalue = &quot;x1&quot;)
## 
## &gt; plot_dat &lt;- cbind.data.frame(ev.no, ev.bin, ev.bin - 
## +     ev.no)
## 
## &gt; names(plot_dat) &lt;- c(&quot;1) No Substitutes&quot;, &quot;2) Substitutes&quot;, 
## +     &quot;3) Difference&quot;)
## 
## &gt; gglines &lt;- cbind.data.frame(apply(plot_dat, 2, sort)[25, 
## +     ], apply(plot_dat, 2, sort)[975, ])
## 
## &gt; gglines$variable &lt;- cbind(rownames(gglines))
## 
## &gt; gglines &lt;- reshape2::melt(gglines, id = &quot;variable&quot;)
## 
## &gt; names(gglines)[2] &lt;- &quot;open&quot;
## 
## &gt; plot_dat &lt;- reshape2::melt(plot_dat)
## 
## &gt; p &lt;- ggplot(plot_dat, aes(value, color = variable, 
## +     fill = variable)) + geom_density(alpha = 0.75, color = NA) + 
## +     labs(color = &quot;Amnesty  ...&quot; ... [TRUNCATED] 
## 
## &gt; p</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig5.pdf&quot;, width = 6, height = 4)
## 
## &gt; print(p)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; set.seed(1015)
## 
## &gt; Tr &lt;- match$bin
## 
## &gt; X &lt;- match[, !colnames(match) %in% c(&quot;bin&quot;, &quot;Amn&quot;)]
## 
## &gt; Y &lt;- match$Amn
## 
## &gt; gen1 &lt;- GenMatch(Tr = Tr, X = X, pop.size = 1000, 
## +     replace = FALSE)
## 
## 
## Thu Jul 22 14:21:07 2021
## Domains:
##  0.000000e+00   &lt;=  X1   &lt;=    1.000000e+03 
##  0.000000e+00   &lt;=  X2   &lt;=    1.000000e+03 
##  0.000000e+00   &lt;=  X3   &lt;=    1.000000e+03 
##  0.000000e+00   &lt;=  X4   &lt;=    1.000000e+03 
##  0.000000e+00   &lt;=  X5   &lt;=    1.000000e+03 
## 
## Data Type: Floating Point
## Operators (code number, name, population) 
##  (1) Cloning...........................  122
##  (2) Uniform Mutation..................  125
##  (3) Boundary Mutation.................  125
##  (4) Non-Uniform Mutation..............  125
##  (5) Polytope Crossover................  125
##  (6) Simple Crossover..................  126
##  (7) Whole Non-Uniform Mutation........  125
##  (8) Heuristic Crossover...............  126
##  (9) Local-Minimum Crossover...........  0
## 
## SOFT Maximum Number of Generations: 100
## Maximum Nonchanging Generations: 4
## Population size       : 1000
## Convergence Tolerance: 1.000000e-03
## 
## Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
## Not Checking Gradients before Stopping.
## Using Out of Bounds Individuals.
## 
## Maximization Problem.
## GENERATION: 0 (initializing the population)
## Lexical Fit..... 1.523213e-01  1.961420e-01  2.378289e-01  2.378289e-01  2.643749e-01  3.548939e-01  6.339498e-01  6.452255e-01  1.000000e+00  1.000000e+00  
## #unique......... 1000, #Total UniqueCount: 1000
## var 1:
## best............ 7.675676e+02
## mean............ 4.993574e+02
## variance........ 8.732287e+04
## var 2:
## best............ 5.383518e+02
## mean............ 5.127177e+02
## variance........ 8.434544e+04
## var 3:
## best............ 1.543168e+00
## mean............ 5.056503e+02
## variance........ 8.910595e+04
## var 4:
## best............ 5.222951e+02
## mean............ 4.788146e+02
## variance........ 8.205904e+04
## var 5:
## best............ 9.820813e+02
## mean............ 4.906805e+02
## variance........ 8.496674e+04
## 
## GENERATION: 1
## Lexical Fit..... 1.523213e-01  2.358324e-01  2.378289e-01  2.422092e-01  3.548939e-01  3.548939e-01  6.261076e-01  6.920531e-01  1.000000e+00  1.000000e+00  
## #unique......... 743, #Total UniqueCount: 1743
## var 1:
## best............ 7.675676e+02
## mean............ 4.593916e+02
## variance........ 1.083617e+05
## var 2:
## best............ 5.383518e+02
## mean............ 4.981080e+02
## variance........ 4.338903e+04
## var 3:
## best............ 1.543168e+00
## mean............ 1.545559e+02
## variance........ 6.389073e+04
## var 4:
## best............ 2.302220e+02
## mean............ 5.394597e+02
## variance........ 2.726138e+04
## var 5:
## best............ 4.976247e+02
## mean............ 8.044642e+02
## variance........ 4.712243e+04
## 
## GENERATION: 2
## Lexical Fit..... 1.523213e-01  2.358324e-01  2.378289e-01  2.422092e-01  3.548939e-01  3.548939e-01  6.261076e-01  6.920531e-01  1.000000e+00  1.000000e+00  
## #unique......... 722, #Total UniqueCount: 2465
## var 1:
## best............ 7.675676e+02
## mean............ 7.417567e+02
## variance........ 2.458954e+04
## var 2:
## best............ 5.383518e+02
## mean............ 5.935718e+02
## variance........ 2.393381e+04
## var 3:
## best............ 1.543168e+00
## mean............ 3.923669e+01
## variance........ 1.584067e+04
## var 4:
## best............ 2.302220e+02
## mean............ 3.721470e+02
## variance........ 2.278208e+04
## var 5:
## best............ 4.976247e+02
## mean............ 7.432501e+02
## variance........ 6.825384e+04
## 
## GENERATION: 3
## Lexical Fit..... 1.523213e-01  2.378289e-01  2.378289e-01  2.669293e-01  3.300412e-01  3.548939e-01  6.020912e-01  7.729600e-01  1.000000e+00  1.000000e+00  
## #unique......... 659, #Total UniqueCount: 3124
## var 1:
## best............ 8.652960e+02
## mean............ 7.638756e+02
## variance........ 1.988985e+04
## var 2:
## best............ 4.387894e+01
## mean............ 6.200969e+02
## variance........ 2.942911e+04
## var 3:
## best............ 1.543168e+00
## mean............ 3.769561e+01
## variance........ 1.699443e+04
## var 4:
## best............ 3.828283e+02
## mean............ 2.874834e+02
## variance........ 1.299201e+04
## var 5:
## best............ 9.820813e+02
## mean............ 6.231478e+02
## variance........ 5.279569e+04
## 
## GENERATION: 4
## Lexical Fit..... 1.523213e-01  2.378289e-01  2.378289e-01  2.706569e-01  2.787357e-01  3.548939e-01  6.190329e-01  7.635532e-01  1.000000e+00  1.000000e+00  
## #unique......... 675, #Total UniqueCount: 3799
## var 1:
## best............ 8.652960e+02
## mean............ 7.961915e+02
## variance........ 1.719008e+04
## var 2:
## best............ 7.557541e+01
## mean............ 4.084639e+02
## variance........ 8.902262e+04
## var 3:
## best............ 1.543168e+00
## mean............ 3.102103e+01
## variance........ 1.147544e+04
## var 4:
## best............ 3.828283e+02
## mean............ 3.303247e+02
## variance........ 1.004288e+04
## var 5:
## best............ 9.820813e+02
## mean............ 7.636746e+02
## variance........ 5.344993e+04
## 
## GENERATION: 5
## Lexical Fit..... 1.523213e-01  2.378289e-01  2.378289e-01  2.706569e-01  2.787357e-01  3.548939e-01  6.190329e-01  7.635532e-01  1.000000e+00  1.000000e+00  
## #unique......... 648, #Total UniqueCount: 4447
## var 1:
## best............ 8.652960e+02
## mean............ 8.155734e+02
## variance........ 1.759564e+04
## var 2:
## best............ 7.557541e+01
## mean............ 1.999494e+02
## variance........ 6.368155e+04
## var 3:
## best............ 1.543168e+00
## mean............ 3.368720e+01
## variance........ 1.333187e+04
## var 4:
## best............ 3.828283e+02
## mean............ 3.753193e+02
## variance........ 7.159407e+03
## var 5:
## best............ 9.820813e+02
## mean............ 9.045751e+02
## variance........ 2.826283e+04
## 
## GENERATION: 6
## Lexical Fit..... 1.523213e-01  2.378289e-01  2.378289e-01  2.706569e-01  2.787357e-01  3.548939e-01  6.190329e-01  7.635532e-01  1.000000e+00  1.000000e+00  
## #unique......... 658, #Total UniqueCount: 5105
## var 1:
## best............ 8.652960e+02
## mean............ 8.393906e+02
## variance........ 1.081601e+04
## var 2:
## best............ 7.557541e+01
## mean............ 9.727185e+01
## variance........ 8.879201e+03
## var 3:
## best............ 1.543168e+00
## mean............ 3.310830e+01
## variance........ 1.175718e+04
## var 4:
## best............ 3.828283e+02
## mean............ 3.910055e+02
## variance........ 5.759310e+03
## var 5:
## best............ 9.820813e+02
## mean............ 9.515488e+02
## variance........ 1.143999e+04
## 
## GENERATION: 7
## Lexical Fit..... 1.523213e-01  2.378289e-01  2.378289e-01  2.706569e-01  2.787357e-01  3.548939e-01  6.190329e-01  7.635532e-01  1.000000e+00  1.000000e+00  
## #unique......... 650, #Total UniqueCount: 5755
## var 1:
## best............ 8.652960e+02
## mean............ 8.413718e+02
## variance........ 8.992233e+03
## var 2:
## best............ 7.557541e+01
## mean............ 1.072120e+02
## variance........ 1.404566e+04
## var 3:
## best............ 1.543168e+00
## mean............ 3.689254e+01
## variance........ 1.479442e+04
## var 4:
## best............ 3.828283e+02
## mean............ 3.930721e+02
## variance........ 6.120894e+03
## var 5:
## best............ 9.820813e+02
## mean............ 9.540459e+02
## variance........ 1.069788e+04
## 
## GENERATION: 8
## Lexical Fit..... 1.523213e-01  2.378289e-01  2.378289e-01  2.706569e-01  2.787357e-01  3.548939e-01  6.190329e-01  7.635532e-01  1.000000e+00  1.000000e+00  
## #unique......... 657, #Total UniqueCount: 6412
## var 1:
## best............ 8.652960e+02
## mean............ 8.450482e+02
## variance........ 7.299959e+03
## var 2:
## best............ 7.557541e+01
## mean............ 1.038349e+02
## variance........ 1.331412e+04
## var 3:
## best............ 1.543168e+00
## mean............ 2.728525e+01
## variance........ 8.667498e+03
## var 4:
## best............ 3.828283e+02
## mean............ 3.879349e+02
## variance........ 4.480149e+03
## var 5:
## best............ 9.820813e+02
## mean............ 9.476429e+02
## variance........ 1.271560e+04
## 
## GENERATION: 9
## Lexical Fit..... 1.523213e-01  2.378289e-01  2.378289e-01  2.706569e-01  2.787357e-01  3.548939e-01  6.190329e-01  7.635532e-01  1.000000e+00  1.000000e+00  
## #unique......... 640, #Total UniqueCount: 7052
## var 1:
## best............ 8.652960e+02
## mean............ 8.421406e+02
## variance........ 8.565729e+03
## var 2:
## best............ 7.557541e+01
## mean............ 1.034094e+02
## variance........ 1.267388e+04
## var 3:
## best............ 1.543168e+00
## mean............ 3.413140e+01
## variance........ 1.224769e+04
## var 4:
## best............ 3.828283e+02
## mean............ 3.884009e+02
## variance........ 5.671095e+03
## var 5:
## best............ 9.820813e+02
## mean............ 9.452195e+02
## variance........ 1.437428e+04
## 
## &#39;wait.generations&#39; limit reached.
## No significant improvement in 4 generations.
## 
## Solution Lexical Fitness Value:
## 1.523213e-01  2.378289e-01  2.378289e-01  2.706569e-01  2.787357e-01  3.548939e-01  6.190329e-01  7.635532e-01  1.000000e+00  1.000000e+00  
## 
## Parameters at the Solution:
## 
##  X[ 1] : 8.652960e+02
##  X[ 2] : 7.557541e+01
##  X[ 3] : 1.543168e+00
##  X[ 4] : 3.828283e+02
##  X[ 5] : 9.820813e+02
## 
## Solution Found Generation 4
## Number of Generations Run 9
## 
## Thu Jul 22 14:21:24 2021
## Total run time : 0 hours 0 minutes and 17 seconds
## 
## &gt; mgen1 &lt;- Match(Y = Y, Tr = Tr, X = X, Weight.matrix = gen1, 
## +     replace = FALSE)
## 
## &gt; summary(mgen1)
## 
## Estimate...  0.21277 
## SE.........  0.079246 
## T-stat.....  2.6849 
## p.val......  0.0072556 
## 
## Original number of observations..............  159 
## Original number of treated obs...............  47 
## Matched number of observations...............  47 
## Matched number of observations  (unweighted).  47 
## 
## 
## &gt; MatchBalance(bin ~ Inc + v2x_cspart + v2x_polyarchy + 
## +     v2x_clphy + v2x_rule, data = match, match.out = mgen1, nboots = 1000)
## 
## ***** (V1) Inc *****
##                        Before Matching        After Matching
## mean treatment........    0.89362            0.89362 
## mean control..........       0.75            0.89362 
## std mean diff.........     46.081                  0 
## 
## mean raw eQQ diff.....    0.14894                  0 
## med  raw eQQ diff.....          0                  0 
## max  raw eQQ diff.....          1                  0 
## 
## mean eCDF diff........   0.071809                  0 
## med  eCDF diff........   0.071809                  0 
## max  eCDF diff........    0.14362                  0 
## 
## var ratio (Tr/Co).....    0.51341                  1 
## T-test p-value........   0.020766                  1 
## 
## 
## ***** (V2) v2x_cspart *****
##                        Before Matching        After Matching
## mean treatment........    0.34483            0.34483 
## mean control..........     0.4447            0.33766 
## std mean diff.........    -56.471             4.0545 
## 
## mean raw eQQ diff.....   0.097043            0.03717 
## med  raw eQQ diff.....      0.067              0.029 
## max  raw eQQ diff.....      0.305              0.157 
## 
## mean eCDF diff........    0.14759           0.064563 
## med  eCDF diff........     0.1003           0.042553 
## max  eCDF diff........    0.37785            0.21277 
## 
## var ratio (Tr/Co).....    0.70757             1.1982 
## T-test p-value........  0.0027666            0.76355 
## KS Bootstrap p-value.. &lt; 2.22e-16              0.171 
## KS Naive p-value...... 0.00015685            0.23783 
## KS Statistic..........    0.37785            0.21277 
## 
## 
## ***** (V3) v2x_polyarchy *****
##                        Before Matching        After Matching
## mean treatment........    0.22472            0.22472 
## mean control..........    0.27618            0.20113 
## std mean diff.........    -48.699             22.332 
## 
## mean raw eQQ diff.....    0.05417           0.027766 
## med  raw eQQ diff.....      0.048              0.021 
## max  raw eQQ diff.....      0.339              0.116 
## 
## mean eCDF diff........   0.098928           0.074835 
## med  eCDF diff........   0.080357           0.042553 
## max  eCDF diff........    0.24525            0.21277 
## 
## var ratio (Tr/Co).....    0.51198             1.1084 
## T-test p-value........    0.01473            0.27066 
## KS Bootstrap p-value..      0.019              0.182 
## KS Naive p-value......   0.037273            0.23783 
## KS Statistic..........    0.24525            0.21277 
## 
## 
## ***** (V4) v2x_clphy *****
##                        Before Matching        After Matching
## mean treatment........    0.23677            0.23677 
## mean control..........    0.39756            0.25517 
## std mean diff.........    -115.85            -13.259 
## 
## mean raw eQQ diff.....    0.16164           0.034021 
## med  raw eQQ diff.....      0.108              0.026 
## max  raw eQQ diff.....        0.4              0.182 
## 
## mean eCDF diff........    0.21047           0.050624 
## med  eCDF diff........    0.23708           0.042553 
## max  eCDF diff........    0.36816            0.19149 
## 
## var ratio (Tr/Co).....    0.28211            0.75065 
## T-test p-value........ 1.3628e-06            0.27874 
## KS Bootstrap p-value.. &lt; 2.22e-16              0.253 
## KS Naive p-value...... 0.00025312            0.35489 
## KS Statistic..........    0.36816            0.19149 
## 
## 
## ***** (V5) v2x_rule *****
##                        Before Matching        After Matching
## mean treatment........    0.34517            0.34517 
## mean control..........    0.36433            0.35257 
## std mean diff.........    -14.934            -5.7711 
## 
## mean raw eQQ diff.....    0.11219           0.058383 
## med  raw eQQ diff.....      0.107              0.057 
## max  raw eQQ diff.....      0.327              0.158 
## 
## mean eCDF diff........    0.15061            0.12158 
## med  eCDF diff........    0.14723            0.12766 
## max  eCDF diff........      0.303            0.23404 
## 
## var ratio (Tr/Co).....    0.30846            0.53974 
## T-test p-value........    0.50622            0.61903 
## KS Bootstrap p-value..      0.003              0.096 
## KS Naive p-value......  0.0045805            0.15232 
## KS Statistic..........      0.303            0.23404 
## 
## 
## Before Matching Minimum p.value: &lt; 2.22e-16 
## Variable Name(s): v2x_cspart v2x_clphy  Number(s): 2 4 
## 
## After Matching Minimum p.value: 0.096 
## Variable Name(s): v2x_rule  Number(s): 5 
## 
## 
## &gt; binarysens(mgen1, Gamma = 2, GammaInc = 0.1)
## 
##  Rosenbaum Sensitivity Test 
##  
## Unconfounded estimate ....  0.0106 
## 
##  Gamma Lower bound Upper bound
##    1.0     0.01064     0.01064
##    1.1     0.00636     0.01720
##    1.2     0.00385     0.02589
##    1.3     0.00237     0.03681
##    1.4     0.00148     0.04992
##    1.5     0.00094     0.06515
##    1.6     0.00060     0.08231
##    1.7     0.00039     0.10122
##    1.8     0.00026     0.12162
##    1.9     0.00017     0.14328
##    2.0     0.00012     0.16595
## 
##  Note: Gamma is Odds of Differential Assignment To
##  Treatment Due to Unobserved Factors 
##  
## 
## &gt; match[, 3:7] &lt;- scale(match[, 3:7], center = T)
## 
## &gt; treat &lt;- brglm(bin ~ Inc + v2x_cspart + v2x_polyarchy + 
## +     v2x_clphy + v2x_rule, data = match)
## 
## &gt; median(exp(coef(treat)))
## [1] 1.040147
## 
## &gt; max(exp(coef(treat)))
## [1] 2.062201
## 
## &gt; 1.5/median(exp(coef(treat)))
## [1] 1.442103
## 
## &gt; match &lt;- na.omit(data[, c(&quot;Amn&quot;, &quot;bin&quot;, &quot;Inc&quot;, &quot;v2x_cspart&quot;, 
## +     &quot;v2x_polyarchy&quot;, &quot;v2x_clphy&quot;, &quot;v2x_rule&quot;)])
## 
## &gt; treat_formula &lt;- as.formula(&quot;bin~Inc+v2x_cspart+v2x_polyarchy+v2x_clphy+v2x_rule&quot;)
## 
## &gt; set.seed(1015)
## 
## &gt; m.out.full &lt;- matchit(treat_formula, data = match, 
## +     method = &quot;full&quot;, replace = F, distance = &quot;logit&quot;)
## 
## &gt; balance &lt;- data.frame(summary(m.out.full)[5])
## 
## &gt; balance &lt;- balance[2:6, &quot;reduction.Mean.Diff.&quot;]
## 
## &gt; balance &lt;- cbind.data.frame(labs, balance)
## 
## &gt; balance[, 2] &lt;- round(balance[, 2], 2)
## 
## &gt; colnames(balance) &lt;- c(&quot;Variable&quot;, &quot;/% Improvement in Difference in Means&quot;)
## 
## &gt; balance
##                 Variable /% Improvement in Difference in Means
## 1        Incompatibility                                 81.65
## 2 Civil Society Strength                                 76.61
## 3    Electoral Democracy                                 79.52
## 4     Political Violence                                 86.81
## 5            Rule of Law                                -25.77
## 
## &gt; balance &lt;- print(xtable(balance, digits = 3, align = c(&quot;l&quot;, 
## +     &quot;l&quot;, &quot;c&quot;)), include.rownames = F)
## % latex table generated in R 4.0.2 by xtable 1.8-4 package
## % Thu Jul 22 14:21:25 2021
## \begin{table}[ht]
## \centering
## \begin{tabular}{lc}
##   \hline
## Variable &amp; /\% Improvement in Difference in Means \\ 
##   \hline
## Incompatibility &amp; 81.650 \\ 
##   Civil Society Strength &amp; 76.610 \\ 
##   Electoral Democracy &amp; 79.520 \\ 
##   Political Violence &amp; 86.810 \\ 
##   Rule of Law &amp; -25.770 \\ 
##    \hline
## \end{tabular}
## \end{table}
## 
## &gt; write(balance, file = &quot;Table 6.tex&quot;)
## 
## &gt; colnames(m.out.full$X) &lt;- labs
## 
## &gt; plot(m.out.full, type = &quot;QQ&quot;, interactive = F)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## 
## &gt; pdf(&quot;Fig9.pdf&quot;)
## 
## &gt; print(plot(m.out.full, type = &quot;QQ&quot;, interactive = F))</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## $ask
## [1] FALSE
## 
## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; mdat &lt;- match.data(m.out.full)
## 
## &gt; set.seed(1015)
## 
## &gt; zelig &lt;- zelig(Amn ~ bin + Inc + v2x_cspart + v2x_polyarchy + 
## +     v2x_clphy + v2x_rule, data = mdat, model = &quot;relogit&quot;)
## How to cite this model in Zelig:
##   Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau. 2021.
##   relogit: Rare Events Logistic Regression for Dichotomous Dependent Variables
##   in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
##   &quot;Zelig: Everyone&#39;s Statistical Software,&quot; https://zeligproject.org/
## 
## &gt; summary(zelig)
## Model: 
## 
## Call:
## z5$zelig(formula = Amn ~ bin + Inc + v2x_cspart + v2x_polyarchy + 
##     v2x_clphy + v2x_rule, data = mdat)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -1.4135  -0.8387  -0.7147   1.1370   2.2868  
## 
## Coefficients:
##               Estimate Std. Error z value Pr(&gt;|z|)
## (Intercept)    -0.5460     0.7644  -0.714  0.47503
## bin             1.2862     0.4683   2.746  0.00603
## Inc            -0.6198     0.5106  -1.214  0.22481
## v2x_cspart     -0.4180     1.5117  -0.276  0.78217
## v2x_polyarchy   3.6756     2.3252   1.581  0.11393
## v2x_clphy       0.8021     1.4854   0.540  0.58920
## v2x_rule       -3.9387     1.5494  -2.542  0.01102
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 191.29  on 158  degrees of freedom
## Residual deviance: 172.05  on 152  degrees of freedom
## AIC: 186.05
## 
## Number of Fisher Scoring iterations: 4
## 
## Next step: Use &#39;setx&#39; method
## 
## &gt; sim.no &lt;- setx(zelig, bin = 0, Inc = 1, v2x_cspart = mean(mdat$v2x_cspart), 
## +     v2x_polyarchy = mean(mdat$v2x_polyarchy), v2x_clphy = mean(mdat$v .... [TRUNCATED] 
## 
## &gt; sim.bin &lt;- setx(zelig, bin = 1, Inc = 1, v2x_cspart = mean(mdat$v2x_cspart), 
## +     v2x_polyarchy = mean(mdat$v2x_polyarchy), v2x_clphy = mean(mdat$ .... [TRUNCATED] 
## 
## &gt; sim.out &lt;- sim(zelig, x = sim.no, x1 = sim.bin)
## 
## &gt; ev.no &lt;- sim.out$get_qi(qi = &quot;ev&quot;, xvalue = &quot;x&quot;)
## 
## &gt; ev.bin &lt;- sim.out$get_qi(qi = &quot;ev&quot;, xvalue = &quot;x1&quot;)
## 
## &gt; plot_dat &lt;- cbind.data.frame(ev.no, ev.bin, ev.bin - 
## +     ev.no)
## 
## &gt; names(plot_dat) &lt;- c(&quot;1) No Substitutes&quot;, &quot;2) Substitutes&quot;, 
## +     &quot;3) Difference&quot;)
## 
## &gt; gglines &lt;- cbind.data.frame(apply(plot_dat, 2, sort)[25, 
## +     ], apply(plot_dat, 2, sort)[975, ])
## 
## &gt; gglines$variable &lt;- cbind(rownames(gglines))
## 
## &gt; gglines &lt;- reshape2::melt(gglines, id = &quot;variable&quot;)
## 
## &gt; names(gglines)[2] &lt;- &quot;open&quot;
## 
## &gt; plot_dat &lt;- reshape2::melt(plot_dat)
## 
## &gt; p &lt;- ggplot(plot_dat, aes(value, color = variable, 
## +     fill = variable)) + geom_density(alpha = 0.75, color = NA) + 
## +     labs(color = &quot;Amnesty  ...&quot; ... [TRUNCATED] 
## 
## &gt; p</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig10.pdf&quot;, width = 6, height = 4)
## 
## &gt; print(p)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; rm(list = setdiff(ls(), c(&quot;cluster_bootstrap&quot;, &quot;int_plot&quot;)))</code></pre>
<pre class="r"><code>#Implementation Analysis #####
#There will be several delays for bootstraps
#Will beep on completion
#Produces the following
#Figure 6 - Main Implementation Results
#Table 7 - Regression Table
#Figures 16-18 - Alternative Substitute Measures
#Figures 19-20 - Alternative Specifications
#Figures 21-22 - BMA for Implementation
source(&quot;Implementation Analysis.R&quot;, echo=T)</code></pre>
<pre><code>## 
## &gt; load(&quot;Implementation Main Data.Rdata&quot;)
## 
## &gt; controls &lt;- c(&quot;truth_init&quot;, &quot;prisr_init&quot;, &quot;powtran_init&quot;, 
## +     &quot;as.factor(incompatibility)&quot;, &quot;spline&quot;, &quot;spline2&quot;, &quot;spline3&quot;)
## 
## &gt; base_form &lt;- as.formula(paste(&quot;sig_minor_war_mh~as.factor(bin)*as.factor(amnest_init)+&quot;, 
## +     paste(controls, collapse = &quot;+&quot;)))
## 
## &gt; base &lt;- brglm(base_form, data = data)
## 
## &gt; set.seed(1015)
## 
## &gt; base_boot &lt;- cluster_bootstrap(base, n = 1000, amn = &quot;amnest_init&quot;, 
## +     bin = &quot;bin&quot;)
## 
## &gt; m1 &lt;- int_plot(base, base_boot, amn = &quot;amnest_init&quot;, 
## +     bin = &quot;bin&quot;)
## 
## &gt; m1[[1]]</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig6.pdf&quot;, width = 7, height = 4)
## 
## &gt; print(m1[[1]])</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; set.seed(1015)
## 
## &gt; n &lt;- 1000
## 
## &gt; coef &lt;- matrix(NA, ncol = length(coef(base)))
## 
## &gt; pop &lt;- unique(data$pam_caseid)
## 
## &gt; i &lt;- 1
## 
## &gt; model &lt;- NA
## 
## &gt; while (nrow(na.omit(coef)) &lt; n) {
## +     effects &lt;- matrix(NA, ncol = length(coef(base)))
## +     sample &lt;- sample(pop, replace = T, size = length(pop) .... [TRUNCATED] 
## 
## &gt; coef &lt;- na.omit(coef)
## 
## &gt; tab &lt;- rbind(coef(base), apply(coef, 2, sort)[c(25, 
## +     976), ])
## 
## &gt; tab[2:3, 3] &lt;- sort(coef[, 3], decreasing = F)[c(50, 
## +     951)]
## 
## &gt; tab &lt;- round(tab, 3)
## 
## &gt; tab &lt;- t(tab)
## 
## &gt; colnames(tab) &lt;- c(&quot;est&quot;, &quot;lb&quot;, &quot;ub&quot;)
## 
## &gt; tab &lt;- tab[c(3, 2, nrow(tab), 4:(nrow(tab) - 1), 1), 
## +     ]
## 
## &gt; colnames(m1[[2]])[1:3] &lt;- c(&quot;est&quot;, &quot;lb&quot;, &quot;ub&quot;)
## 
## &gt; m1[[2]][1:3] &lt;- round(m1[[2]][1:3], 3)
## 
## &gt; tab &lt;- rbind(tab, m1[[2]][, 1:3])
## 
## &gt; tab &lt;- data.frame(tab)
## 
## &gt; tab$CI &lt;- paste(&quot;[&quot;, tab$lb, &quot; --- &quot;, tab$ub, &quot;]&quot;, 
## +     sep = &quot;&quot;)
## 
## &gt; tab &lt;- as.vector(t(tab[, c(&quot;est&quot;, &quot;CI&quot;)]))
## 
## &gt; tab &lt;- rbind(cbind(tab), cbind(round(rbind(nobs(base), 
## +     length(unique(base$data$pam_caseid)), logLik(base)), 3)))
## 
## &gt; tab &lt;- data.frame(tab)
## 
## &gt; rownames(tab)[c(seq(1, (nrow(tab) - 3), 2), (nrow(tab) - 
## +     2):nrow(tab))] &lt;- c(&quot;Amnesty Implementation&quot;, &quot;Any Substitutes&quot;, 
## +     &quot;Amnesty Imp ...&quot; ... [TRUNCATED] 
## 
## &gt; tab
##                                                                 tab
## Amnesty Implementation                                        0.515
## 2                                                [-1.047 --- 2.577]
## Any Substitutes                                               2.927
## 4                                                   [1.743 --- 5.4]
## Amnesty Implementation $ times$ Any Substitutes              -3.246
## 6                                                [-7.47 --- -1.046]
## Truth Implementation                                         -0.953
## 8                                                [-2.788 --- 0.871]
## Prisoner Release Implementation                              -0.340
## 10                                               [-2.601 --- 0.634]
## Power-sharing Implementation                                  0.731
## 12                                               [-0.964 --- 3.369]
## Incompatibility                                               1.272
## 14                                               [-0.574 --- 3.197]
## Time Since Last War                                           0.846
## 16                                                  [-1.77 --- 6.2]
## Time$^2$                                                     -0.257
## 18                                               [-1.854 --- 0.415]
## Time$^3$                                                      0.017
## 20                                               [-0.027 --- 0.128]
## Intercept                                                    -4.552
## 22                                              [-9.632 --- -2.101]
## Marginal Effect of Substitutes without Amnesty                0.022
## 24                                               [-0.032 --- 0.127]
## Marginal Effect of Substitutes with Amnesty                  -0.292
## 26                                              [-0.597 --- -0.128]
## Difference                                                   -0.314
## 28                                              [-0.655 --- -0.142]
## N                                                               313
## Clusters                                                         34
## Log-Likelihood                                              -46.266
## 
## &gt; names(tab) &lt;- &quot;Effect on War Recurrence&quot;
## 
## &gt; tab &lt;- print(xtable(tab, digits = 3, align = c(&quot;l&quot;, 
## +     &quot;c&quot;)), hline.after = c(25, 28))
## % latex table generated in R 4.0.2 by xtable 1.8-4 package
## % Thu Jul 22 14:24:58 2021
## \begin{table}[ht]
## \centering
## \begin{tabular}{lc}
##   &amp; Effect on War Recurrence \\ 
##  Amnesty Implementation &amp;  0.515 \\ 
##   2 &amp; [-1.047 --- 2.577] \\ 
##   Any Substitutes &amp;  2.927 \\ 
##   4 &amp; [1.743 --- 5.4] \\ 
##   Amnesty Implementation \$ times\$ Any Substitutes &amp; -3.246 \\ 
##   6 &amp; [-7.47 --- -1.046] \\ 
##   Truth Implementation &amp; -0.953 \\ 
##   8 &amp; [-2.788 --- 0.871] \\ 
##   Prisoner Release Implementation &amp; -0.340 \\ 
##   10 &amp; [-2.601 --- 0.634] \\ 
##   Power-sharing Implementation &amp;  0.731 \\ 
##   12 &amp; [-0.964 --- 3.369] \\ 
##   Incompatibility &amp;  1.272 \\ 
##   14 &amp; [-0.574 --- 3.197] \\ 
##   Time Since Last War &amp;  0.846 \\ 
##   16 &amp; [-1.77 --- 6.2] \\ 
##   Time\$\verb|^|2\$ &amp; -0.257 \\ 
##   18 &amp; [-1.854 --- 0.415] \\ 
##   Time\$\verb|^|3\$ &amp;  0.017 \\ 
##   20 &amp; [-0.027 --- 0.128] \\ 
##   Intercept &amp; -4.552 \\ 
##   22 &amp; [-9.632 --- -2.101] \\ 
##   Marginal Effect of Substitutes without Amnesty &amp;  0.022 \\ 
##   24 &amp; [-0.032 --- 0.127] \\ 
##   Marginal Effect of Substitutes with Amnesty &amp; -0.292 \\ 
##    \hline
## 26 &amp; [-0.597 --- -0.128] \\ 
##   Difference &amp; -0.314 \\ 
##   28 &amp; [-0.655 --- -0.142] \\ 
##    \hline
## N &amp; 313 \\ 
##   Clusters &amp; 34 \\ 
##   Log-Likelihood &amp; -46.266 \\ 
##   \end{tabular}
## \end{table}
## 
## &gt; write(tab, file = &quot;Table 7.tex&quot;)
## 
## &gt; forge_form &lt;- as.formula(paste(&quot;sig_minor_war_mh~as.factor(bin_forge)*as.factor(amnest_init)+&quot;, 
## +     paste(controls, collapse = &quot;+&quot;)))
## 
## &gt; forge &lt;- brglm(forge_form, data = data)
## 
## &gt; set.seed(1015)
## 
## &gt; forge_boot &lt;- cluster_bootstrap(forge, n = 1000, amn = &quot;amnest_init&quot;, 
## +     bin = &quot;bin_forge&quot;)
## Error in `contrasts&lt;-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : 
##   contrasts can be applied only to factors with 2 or more levels
## Error in `contrasts&lt;-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : 
##   contrasts can be applied only to factors with 2 or more levels
## Error in `contrasts&lt;-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : 
##   contrasts can be applied only to factors with 2 or more levels
## Error in `contrasts&lt;-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : 
##   contrasts can be applied only to factors with 2 or more levels
## 
## &gt; m2 &lt;- int_plot(forge, forge_boot, amn = &quot;amnest_init&quot;, 
## +     bin = &quot;bin_forge&quot;)
## 
## &gt; m2[[1]]</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig16.pdf&quot;, width = 7, height = 4)
## 
## &gt; print(m2[[1]])</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; set.seed(1015)
## 
## &gt; yearly_form &lt;- as.formula(paste(&quot;sig_minor_war_mh~as.factor(bin_yearly)*as.factor(amnest_init)+&quot;, 
## +     paste(controls, collapse = &quot;+&quot;)))
## 
## &gt; yearly &lt;- brglm(yearly_form, data = data)
## 
## &gt; yearly_boot &lt;- cluster_bootstrap(yearly, n = 1000, 
## +     amn = &quot;amnest_init&quot;, bin = &quot;bin_yearly&quot;)
## 
## &gt; m3 &lt;- int_plot(yearly, yearly_boot, amn = &quot;amnest_init&quot;, 
## +     bin = &quot;bin_yearly&quot;)
## 
## &gt; m3[[1]]</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig18.pdf&quot;, width = 7, height = 4)
## 
## &gt; print(m3[[1]])</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; noinform &lt;- as.formula(paste(&quot;sig_minor_war_mh~as.factor(bin_noinf)*as.factor(amnest_init)+&quot;, 
## +     paste(controls, collapse = &quot;+&quot;)))
## 
## &gt; noinf_mod &lt;- brglm(noinform, data = data)
## 
## &gt; set.seed(1015)
## 
## &gt; noin &lt;- cluster_bootstrap(noinf_mod, n = 1000, bin = &quot;bin_noinf&quot;, 
## +     amn = &quot;amnest_init&quot;)
## 
## &gt; m5 &lt;- int_plot(noinf_mod, boot.out = noin, amn = &quot;amnest_init&quot;, 
## +     bin = &quot;bin_noinf&quot;)
## 
## &gt; m5[[1]]</code></pre>
<pre><code>## 
## &gt; pdf(file = &quot;Fig17.pdf&quot;, width = 7, height = 4)
## 
## &gt; print(m5[[1]])</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; r3 &lt;- c(&quot;v2x_cspart&quot;, &quot;v2x_polyarchy&quot;, &quot;v2x_rule&quot;)
## 
## &gt; r3plus &lt;- c(controls, r3)
## 
## &gt; R3_form &lt;- as.formula(paste(&quot;sig_minor_war_mh~as.factor(bin)*as.factor(amnest_init)+&quot;, 
## +     paste(r3plus, collapse = &quot;+&quot;)))
## 
## &gt; R3_mod &lt;- brglm(R3_form, data = data)
## 
## &gt; set.seed(1015)
## 
## &gt; R3_boot &lt;- cluster_bootstrap(R3_mod, n = 1000, bin = &quot;bin&quot;, 
## +     amn = &quot;amnest_init&quot;)
## 
## &gt; R3_result &lt;- int_plot(R3_mod, boot.out = R3_boot, 
## +     amn = &quot;amnest_init&quot;, bin = &quot;bin&quot;)
## 
## &gt; R3_result[[1]]</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig19.pdf&quot;, width = 7, height = 4)
## 
## &gt; print(R3_result[[1]])</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; r1 &lt;- c(&quot;disarm_init&quot;, &quot;demob_init&quot;, &quot;reint_init&quot;)
## 
## &gt; r1plus &lt;- c(controls, r1)
## 
## &gt; R1_form &lt;- as.formula(paste(&quot;sig_minor_war_mh~as.factor(bin)*as.factor(amnest_init)+&quot;, 
## +     paste(r1plus, collapse = &quot;+&quot;)))
## 
## &gt; R1_mod &lt;- brglm(R1_form, data = data)
## 
## &gt; set.seed(1015)
## 
## &gt; R1_boot &lt;- cluster_bootstrap(R1_mod, n = 1000, amn = &quot;amnest_init&quot;, 
## +     bin = &quot;bin&quot;)
## 
## &gt; m4 &lt;- int_plot(R1_mod, forge_boot, amn = &quot;amnest_init&quot;, 
## +     bin = &quot;bin&quot;)
## 
## &gt; m4[[1]]</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig20.pdf&quot;, width = 7, height = 4)
## 
## &gt; print(m4[[1]])</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; bma_dat &lt;- na.omit(data[, colnames(data) %in% c(&quot;sig_minor_war_mh&quot;, 
## +     &quot;bin&quot;, &quot;amnest_init&quot;, r3plus, r1plus, &quot;incompatibility&quot;)])
## 
## &gt; colnames(bma_dat)[which(colnames(bma_dat) == &quot;amnest_init&quot;)] &lt;- &quot;Amnesty Implementation&quot;
## 
## &gt; colnames(bma_dat)[which(colnames(bma_dat) == &quot;bin&quot;)] &lt;- &quot;Any Substitutes&quot;
## 
## &gt; vars &lt;- unique(c(r1plus, r3plus))
## 
## &gt; vars &lt;- vars[!vars %in% c(&quot;spline&quot;, &quot;spline2&quot;, &quot;spline3&quot;)]
## 
## &gt; set.seed(1015)
## 
## &gt; bas &lt;- bas.glm(as.formula(paste(&quot;sig_minor_war_mh~`Any Substitutes`*`Amnesty Implementation`+\n                              as.factor(incompatibili ...&quot; ... [TRUNCATED] 
## 
## &gt; plot(coef(bas), subset = 3, ask = F)</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig21.pdf&quot;, width = 6, height = 3)
## 
## &gt; print(plot(coef(bas), subset = 3, ask = F))</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## NULL
## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; plot(coef(bas), subset = bas$n.vars, ask = F)</code></pre>
<pre><code>## 
## &gt; pdf(&quot;Fig22.pdf&quot;, width = 6, height = 3)
## 
## &gt; print(plot(coef(bas), subset = bas$n.vars, ask = F))</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## NULL
## 
## &gt; dev.off()
## png 
##   2 
## 
## &gt; summary(bas)
##                                            P(B != 0 | Y)     model 1   model 2
## Intercept                                      1.0000000   1.0000000   1.00000
## `Any Substitutes`                              0.9998459   1.0000000   1.00000
## `Amnesty Implementation`                       0.9987488   1.0000000   1.00000
## as.factor(incompatibility)2                    0.7978668   1.0000000   1.00000
## poly(spline, 3, raw = T)1                      0.9352051   1.0000000   1.00000
## poly(spline, 3, raw = T)2                      0.9352051   1.0000000   1.00000
## poly(spline, 3, raw = T)3                      0.9352051   1.0000000   1.00000
## truth_init                                     0.7861420   1.0000000   1.00000
## prisr_init                                     0.8546707   1.0000000   1.00000
## powtran_init                                   0.7723831   1.0000000   0.00000
## disarm_init                                    0.8153336   1.0000000   1.00000
## demob_init                                     0.8655731   1.0000000   1.00000
## reint_init                                     0.9875214   1.0000000   1.00000
## v2x_cspart                                     0.8449921   1.0000000   1.00000
## v2x_polyarchy                                  0.9126099   1.0000000   1.00000
## v2x_rule                                       0.7984268   1.0000000   1.00000
## `Any Substitutes`:`Amnesty Implementation`     0.9967880   1.0000000   1.00000
## BF                                                    NA   0.5192535   1.00000
## PostProbs                                             NA   0.3304000   0.04050
## R2                                                    NA   0.4235000   0.42310
## dim                                                   NA  17.0000000  16.00000
## logmarg                                               NA -54.7746854 -54.11932
##                                                model 3     model 4     model 5
## Intercept                                    1.0000000   1.0000000   1.0000000
## `Any Substitutes`                            1.0000000   1.0000000   1.0000000
## `Amnesty Implementation`                     1.0000000   1.0000000   1.0000000
## as.factor(incompatibility)2                  1.0000000   0.0000000   1.0000000
## poly(spline, 3, raw = T)1                    1.0000000   1.0000000   1.0000000
## poly(spline, 3, raw = T)2                    1.0000000   1.0000000   1.0000000
## poly(spline, 3, raw = T)3                    1.0000000   1.0000000   1.0000000
## truth_init                                   0.0000000   1.0000000   1.0000000
## prisr_init                                   1.0000000   1.0000000   1.0000000
## powtran_init                                 1.0000000   1.0000000   1.0000000
## disarm_init                                  1.0000000   1.0000000   1.0000000
## demob_init                                   1.0000000   1.0000000   1.0000000
## reint_init                                   1.0000000   1.0000000   1.0000000
## v2x_cspart                                   1.0000000   1.0000000   1.0000000
## v2x_polyarchy                                1.0000000   1.0000000   1.0000000
## v2x_rule                                     1.0000000   1.0000000   0.0000000
## `Any Substitutes`:`Amnesty Implementation`   1.0000000   1.0000000   1.0000000
## BF                                           0.9529809   0.9470721   0.8454616
## PostProbs                                    0.0387000   0.0384000   0.0334000
## R2                                           0.4218000   0.4218000   0.4209000
## dim                                         16.0000000  16.0000000  16.0000000
## logmarg                                    -54.1674827 -54.1737023 -54.2871948
## 
## &gt; rm(list = setdiff(ls(), c(&quot;cluster_bootstrap&quot;, &quot;int_plot&quot;)))</code></pre>
<pre class="r"><code>beep(4)

#Show run time
toc()</code></pre>
<pre><code>## 3366.01 sec elapsed</code></pre>
<pre class="r"><code>rm(list=ls())</code></pre>




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